Overview

Dataset statistics

Number of variables121
Number of observations48744
Missing cells1404419
Missing cells (%)23.8%
Total size in memory85.9 MiB
Average record size in memory1.8 KiB

Variable types

Numeric105
Categorical16

Warnings

FLAG_DOCUMENT_2 has constant value "0" Constant
FLAG_DOCUMENT_10 has constant value "0" Constant
FLAG_DOCUMENT_12 has constant value "0" Constant
FLAG_DOCUMENT_13 has constant value "0" Constant
FLAG_DOCUMENT_14 has constant value "0" Constant
FLAG_DOCUMENT_15 has constant value "0" Constant
FLAG_DOCUMENT_16 has constant value "0" Constant
FLAG_DOCUMENT_17 has constant value "0" Constant
FLAG_DOCUMENT_19 has constant value "0" Constant
FLAG_DOCUMENT_20 has constant value "0" Constant
FLAG_DOCUMENT_21 has constant value "0" Constant
ORGANIZATION_TYPE has a high cardinality: 58 distinct values High cardinality
NAME_TYPE_SUITE has 911 (1.9%) missing values Missing
OWN_CAR_AGE has 32312 (66.3%) missing values Missing
OCCUPATION_TYPE has 15605 (32.0%) missing values Missing
EXT_SOURCE_1 has 20532 (42.1%) missing values Missing
EXT_SOURCE_3 has 8668 (17.8%) missing values Missing
APARTMENTS_AVG has 23887 (49.0%) missing values Missing
BASEMENTAREA_AVG has 27641 (56.7%) missing values Missing
YEARS_BEGINEXPLUATATION_AVG has 22856 (46.9%) missing values Missing
YEARS_BUILD_AVG has 31818 (65.3%) missing values Missing
COMMONAREA_AVG has 33495 (68.7%) missing values Missing
ELEVATORS_AVG has 25189 (51.7%) missing values Missing
ENTRANCES_AVG has 23579 (48.4%) missing values Missing
FLOORSMAX_AVG has 23321 (47.8%) missing values Missing
FLOORSMIN_AVG has 32466 (66.6%) missing values Missing
LANDAREA_AVG has 28254 (58.0%) missing values Missing
LIVINGAPARTMENTS_AVG has 32780 (67.2%) missing values Missing
LIVINGAREA_AVG has 23552 (48.3%) missing values Missing
NONLIVINGAPARTMENTS_AVG has 33347 (68.4%) missing values Missing
NONLIVINGAREA_AVG has 26084 (53.5%) missing values Missing
APARTMENTS_MODE has 23887 (49.0%) missing values Missing
BASEMENTAREA_MODE has 27641 (56.7%) missing values Missing
YEARS_BEGINEXPLUATATION_MODE has 22856 (46.9%) missing values Missing
YEARS_BUILD_MODE has 31818 (65.3%) missing values Missing
COMMONAREA_MODE has 33495 (68.7%) missing values Missing
ELEVATORS_MODE has 25189 (51.7%) missing values Missing
ENTRANCES_MODE has 23579 (48.4%) missing values Missing
FLOORSMAX_MODE has 23321 (47.8%) missing values Missing
FLOORSMIN_MODE has 32466 (66.6%) missing values Missing
LANDAREA_MODE has 28254 (58.0%) missing values Missing
LIVINGAPARTMENTS_MODE has 32780 (67.2%) missing values Missing
LIVINGAREA_MODE has 23552 (48.3%) missing values Missing
NONLIVINGAPARTMENTS_MODE has 33347 (68.4%) missing values Missing
NONLIVINGAREA_MODE has 26084 (53.5%) missing values Missing
APARTMENTS_MEDI has 23887 (49.0%) missing values Missing
BASEMENTAREA_MEDI has 27641 (56.7%) missing values Missing
YEARS_BEGINEXPLUATATION_MEDI has 22856 (46.9%) missing values Missing
YEARS_BUILD_MEDI has 31818 (65.3%) missing values Missing
COMMONAREA_MEDI has 33495 (68.7%) missing values Missing
ELEVATORS_MEDI has 25189 (51.7%) missing values Missing
ENTRANCES_MEDI has 23579 (48.4%) missing values Missing
FLOORSMAX_MEDI has 23321 (47.8%) missing values Missing
FLOORSMIN_MEDI has 32466 (66.6%) missing values Missing
LANDAREA_MEDI has 28254 (58.0%) missing values Missing
LIVINGAPARTMENTS_MEDI has 32780 (67.2%) missing values Missing
LIVINGAREA_MEDI has 23552 (48.3%) missing values Missing
NONLIVINGAPARTMENTS_MEDI has 33347 (68.4%) missing values Missing
NONLIVINGAREA_MEDI has 26084 (53.5%) missing values Missing
FONDKAPREMONT_MODE has 32797 (67.3%) missing values Missing
HOUSETYPE_MODE has 23619 (48.5%) missing values Missing
TOTALAREA_MODE has 22624 (46.4%) missing values Missing
WALLSMATERIAL_MODE has 23893 (49.0%) missing values Missing
EMERGENCYSTATE_MODE has 22209 (45.6%) missing values Missing
AMT_REQ_CREDIT_BUREAU_HOUR has 6049 (12.4%) missing values Missing
AMT_REQ_CREDIT_BUREAU_DAY has 6049 (12.4%) missing values Missing
AMT_REQ_CREDIT_BUREAU_WEEK has 6049 (12.4%) missing values Missing
AMT_REQ_CREDIT_BUREAU_MON has 6049 (12.4%) missing values Missing
AMT_REQ_CREDIT_BUREAU_QRT has 6049 (12.4%) missing values Missing
AMT_REQ_CREDIT_BUREAU_YEAR has 6049 (12.4%) missing values Missing
FLAG_MOBIL is highly skewed (γ1 = -220.7804339) Skewed
FLAG_CONT_MOBILE is highly skewed (γ1 = -24.93918521) Skewed
OBS_30_CNT_SOCIAL_CIRCLE is highly skewed (γ1 = 57.63848859) Skewed
DEF_30_CNT_SOCIAL_CIRCLE is highly skewed (γ1 = 20.00311186) Skewed
OBS_60_CNT_SOCIAL_CIRCLE is highly skewed (γ1 = 57.35158046) Skewed
FLAG_DOCUMENT_4 is highly skewed (γ1 = 98.72385705) Skewed
FLAG_DOCUMENT_7 is highly skewed (γ1 = 156.1105376) Skewed
FLAG_DOCUMENT_11 is highly skewed (γ1 = 29.19266201) Skewed
FLAG_DOCUMENT_18 is highly skewed (γ1 = 25.26676224) Skewed
AMT_REQ_CREDIT_BUREAU_HOUR is highly skewed (γ1 = 22.41308502) Skewed
AMT_REQ_CREDIT_BUREAU_DAY is highly skewed (γ1 = 28.27383828) Skewed
AMT_REQ_CREDIT_BUREAU_WEEK is highly skewed (γ1 = 20.18227107) Skewed
SK_ID_CURR has unique values Unique
CNT_CHILDREN has 34685 (71.2%) zeros Zeros
FLAG_EMP_PHONE has 9275 (19.0%) zeros Zeros
FLAG_WORK_PHONE has 38766 (79.5%) zeros Zeros
FLAG_PHONE has 35918 (73.7%) zeros Zeros
FLAG_EMAIL has 40816 (83.7%) zeros Zeros
REG_REGION_NOT_LIVE_REGION has 47826 (98.1%) zeros Zeros
REG_REGION_NOT_WORK_REGION has 46055 (94.5%) zeros Zeros
LIVE_REGION_NOT_WORK_REGION has 46695 (95.8%) zeros Zeros
REG_CITY_NOT_LIVE_CITY has 44968 (92.3%) zeros Zeros
REG_CITY_NOT_WORK_CITY has 37793 (77.5%) zeros Zeros
LIVE_CITY_NOT_WORK_CITY has 40252 (82.6%) zeros Zeros
BASEMENTAREA_AVG has 2241 (4.6%) zeros Zeros
COMMONAREA_AVG has 1373 (2.8%) zeros Zeros
ELEVATORS_AVG has 13467 (27.6%) zeros Zeros
LANDAREA_AVG has 2656 (5.4%) zeros Zeros
NONLIVINGAPARTMENTS_AVG has 8815 (18.1%) zeros Zeros
NONLIVINGAREA_AVG has 9469 (19.4%) zeros Zeros
BASEMENTAREA_MODE has 2558 (5.2%) zeros Zeros
COMMONAREA_MODE has 1604 (3.3%) zeros Zeros
ELEVATORS_MODE has 14170 (29.1%) zeros Zeros
FLOORSMAX_MODE has 511 (1.0%) zeros Zeros
LANDAREA_MODE has 2971 (6.1%) zeros Zeros
NONLIVINGAPARTMENTS_MODE has 9638 (19.8%) zeros Zeros
NONLIVINGAREA_MODE has 10922 (22.4%) zeros Zeros
BASEMENTAREA_MEDI has 2279 (4.7%) zeros Zeros
COMMONAREA_MEDI has 1425 (2.9%) zeros Zeros
ELEVATORS_MEDI has 13738 (28.2%) zeros Zeros
LANDAREA_MEDI has 2708 (5.6%) zeros Zeros
NONLIVINGAPARTMENTS_MEDI has 9117 (18.7%) zeros Zeros
NONLIVINGAREA_MEDI has 9867 (20.2%) zeros Zeros
OBS_30_CNT_SOCIAL_CIRCLE has 26025 (53.4%) zeros Zeros
DEF_30_CNT_SOCIAL_CIRCLE has 43195 (88.6%) zeros Zeros
OBS_60_CNT_SOCIAL_CIRCLE has 26140 (53.6%) zeros Zeros
DEF_60_CNT_SOCIAL_CIRCLE has 44614 (91.5%) zeros Zeros
DAYS_LAST_PHONE_CHANGE has 5801 (11.9%) zeros Zeros
FLAG_DOCUMENT_2 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_3 has 10401 (21.3%) zeros Zeros
FLAG_DOCUMENT_4 has 48739 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_5 has 48025 (98.5%) zeros Zeros
FLAG_DOCUMENT_6 has 44480 (91.3%) zeros Zeros
FLAG_DOCUMENT_7 has 48742 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_8 has 44432 (91.2%) zeros Zeros
FLAG_DOCUMENT_9 has 48525 (99.6%) zeros Zeros
FLAG_DOCUMENT_10 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_11 has 48687 (99.9%) zeros Zeros
FLAG_DOCUMENT_12 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_13 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_14 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_15 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_16 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_17 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_18 has 48668 (99.8%) zeros Zeros
FLAG_DOCUMENT_19 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_20 has 48744 (100.0%) zeros Zeros
FLAG_DOCUMENT_21 has 48744 (100.0%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_HOUR has 42606 (87.4%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_DAY has 42625 (87.4%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_WEEK has 42579 (87.4%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_MON has 42341 (86.9%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_QRT has 23559 (48.3%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_YEAR has 10839 (22.2%) zeros Zeros

Reproduction

Analysis started2021-06-22 16:47:19.634487
Analysis finished2021-06-22 16:47:23.566368
Duration3.93 seconds
Software versionpandas-profiling v2.12.0
Download configurationconfig.yaml

Variables

SK_ID_CURR
Real number (ℝ≥0)

UNIQUE

Distinct48744
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277796.6763
Minimum100001
Maximum456250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:23.633015image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum100001
5-th percentile117044.65
Q1188557.75
median277549
Q3367555.5
95-th percentile438546.85
Maximum456250
Range356249
Interquartile range (IQR)178997.75

Descriptive statistics

Standard deviation103169.5473
Coefficient of variation (CV)0.3713851031
Kurtosis-1.206293005
Mean277796.6763
Median Absolute Deviation (MAD)89492.5
Skewness0.007559675332
Sum1.354092119 × 1010
Variance1.064395549 × 1010
MonotonicityStrictly increasing
2021-06-22T17:47:23.737978image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1310721
 
< 0.1%
2345561
 
< 0.1%
3120771
 
< 0.1%
3817111
 
< 0.1%
3669091
 
< 0.1%
1400491
 
< 0.1%
3180251
 
< 0.1%
3814121
 
< 0.1%
1380061
 
< 0.1%
2670311
 
< 0.1%
Other values (48734)48734
> 99.9%
ValueCountFrequency (%)
1000011
< 0.1%
1000051
< 0.1%
1000131
< 0.1%
1000281
< 0.1%
1000381
< 0.1%
1000421
< 0.1%
1000571
< 0.1%
1000651
< 0.1%
1000661
< 0.1%
1000671
< 0.1%
ValueCountFrequency (%)
4562501
< 0.1%
4562241
< 0.1%
4562231
< 0.1%
4562221
< 0.1%
4562211
< 0.1%
4562021
< 0.1%
4561891
< 0.1%
4561701
< 0.1%
4561691
< 0.1%
4561681
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.1 MiB
Cash loans
48305 
Revolving loans
 
439

Characters and Unicode

Total characters489635
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCash loans
2nd rowCash loans
3rd rowCash loans
4th rowCash loans
5th rowCash loans
ValueCountFrequency (%)
Cash loans48305
99.1%
Revolving loans439
 
0.9%
ValueCountFrequency (%)
loans48744
50.0%
cash48305
49.5%
revolving439
 
0.5%

Most occurring characters

ValueCountFrequency (%)
a97049
19.8%
s97049
19.8%
l49183
10.0%
o49183
10.0%
n49183
10.0%
48744
10.0%
C48305
9.9%
h48305
9.9%
v878
 
0.2%
R439
 
0.1%
Other values (3)1317
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter392147
80.1%
Uppercase Letter48744
 
10.0%
Space Separator48744
 
10.0%

Most frequent character per category

ValueCountFrequency (%)
a97049
24.7%
s97049
24.7%
l49183
12.5%
o49183
12.5%
n49183
12.5%
h48305
12.3%
v878
 
0.2%
e439
 
0.1%
i439
 
0.1%
g439
 
0.1%
ValueCountFrequency (%)
C48305
99.1%
R439
 
0.9%
ValueCountFrequency (%)
48744
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin440891
90.0%
Common48744
 
10.0%

Most frequent character per script

ValueCountFrequency (%)
a97049
22.0%
s97049
22.0%
l49183
11.2%
o49183
11.2%
n49183
11.2%
C48305
11.0%
h48305
11.0%
v878
 
0.2%
R439
 
0.1%
e439
 
0.1%
Other values (2)878
 
0.2%
ValueCountFrequency (%)
48744
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII489635
100.0%

Most frequent character per block

ValueCountFrequency (%)
a97049
19.8%
s97049
19.8%
l49183
10.0%
o49183
10.0%
n49183
10.0%
48744
10.0%
C48305
9.9%
h48305
9.9%
v878
 
0.2%
R439
 
0.1%
Other values (3)1317
 
0.3%

CODE_GENDER
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.1 MiB
F
32678 
M
16066 

Characters and Unicode

Total characters48744
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowM
3rd rowM
4th rowF
5th rowM
ValueCountFrequency (%)
F32678
67.0%
M16066
33.0%
ValueCountFrequency (%)
f32678
67.0%
m16066
33.0%

Most occurring characters

ValueCountFrequency (%)
F32678
67.0%
M16066
33.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter48744
100.0%

Most frequent character per category

ValueCountFrequency (%)
F32678
67.0%
M16066
33.0%

Most occurring scripts

ValueCountFrequency (%)
Latin48744
100.0%

Most frequent character per script

ValueCountFrequency (%)
F32678
67.0%
M16066
33.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII48744
100.0%

Most frequent character per block

ValueCountFrequency (%)
F32678
67.0%
M16066
33.0%

FLAG_OWN_CAR
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.1 MiB
N
32311 
Y
16433 

Characters and Unicode

Total characters48744
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowY
4th rowN
5th rowY
ValueCountFrequency (%)
N32311
66.3%
Y16433
33.7%
ValueCountFrequency (%)
n32311
66.3%
y16433
33.7%

Most occurring characters

ValueCountFrequency (%)
N32311
66.3%
Y16433
33.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter48744
100.0%

Most frequent character per category

ValueCountFrequency (%)
N32311
66.3%
Y16433
33.7%

Most occurring scripts

ValueCountFrequency (%)
Latin48744
100.0%

Most frequent character per script

ValueCountFrequency (%)
N32311
66.3%
Y16433
33.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII48744
100.0%

Most frequent character per block

ValueCountFrequency (%)
N32311
66.3%
Y16433
33.7%

FLAG_OWN_REALTY
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.1 MiB
Y
33658 
N
15086 

Characters and Unicode

Total characters48744
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowN
ValueCountFrequency (%)
Y33658
69.1%
N15086
30.9%
ValueCountFrequency (%)
y33658
69.1%
n15086
30.9%

Most occurring characters

ValueCountFrequency (%)
Y33658
69.1%
N15086
30.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter48744
100.0%

Most frequent character per category

ValueCountFrequency (%)
Y33658
69.1%
N15086
30.9%

Most occurring scripts

ValueCountFrequency (%)
Latin48744
100.0%

Most frequent character per script

ValueCountFrequency (%)
Y33658
69.1%
N15086
30.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII48744
100.0%

Most frequent character per block

ValueCountFrequency (%)
Y33658
69.1%
N15086
30.9%

CNT_CHILDREN
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3970539964
Minimum0
Maximum20
Zeros34685
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:24.188359image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7090468313
Coefficient of variation (CV)1.785769285
Kurtosis17.63698562
Mean0.3970539964
Median Absolute Deviation (MAD)0
Skewness2.366930429
Sum19354
Variance0.5027474089
MonotonicityNot monotonic
2021-06-22T17:47:24.252372image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
034685
71.2%
19504
 
19.5%
23949
 
8.1%
3535
 
1.1%
449
 
0.1%
512
 
< 0.1%
63
 
< 0.1%
83
 
< 0.1%
112
 
< 0.1%
71
 
< 0.1%
ValueCountFrequency (%)
034685
71.2%
19504
 
19.5%
23949
 
8.1%
3535
 
1.1%
449
 
0.1%
512
 
< 0.1%
63
 
< 0.1%
71
 
< 0.1%
83
 
< 0.1%
112
 
< 0.1%
ValueCountFrequency (%)
201
 
< 0.1%
112
 
< 0.1%
83
 
< 0.1%
71
 
< 0.1%
63
 
< 0.1%
512
 
< 0.1%
449
 
0.1%
3535
 
1.1%
23949
8.1%
19504
19.5%

AMT_INCOME_TOTAL
Real number (ℝ≥0)

Distinct606
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178431.8059
Minimum26941.5
Maximum4410000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:24.336416image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum26941.5
5-th percentile69367.5
Q1112500
median157500
Q3225000
95-th percentile360000
Maximum4410000
Range4383058.5
Interquartile range (IQR)112500

Descriptive statistics

Standard deviation101522.5915
Coefficient of variation (CV)0.5689713841
Kurtosis111.2273212
Mean178431.8059
Median Absolute Deviation (MAD)45000
Skewness5.301189283
Sum8697479945
Variance1.030683659 × 1010
MonotonicityNot monotonic
2021-06-22T17:47:24.425544image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1350005562
 
11.4%
1125004851
 
10.0%
1575004435
 
9.1%
1800004205
 
8.6%
2250003764
 
7.7%
2025003058
 
6.3%
900002944
 
6.0%
2700001929
 
4.0%
675001369
 
2.8%
3150001085
 
2.2%
Other values (596)15542
31.9%
ValueCountFrequency (%)
26941.51
 
< 0.1%
270004
 
< 0.1%
283501
 
< 0.1%
285751
 
< 0.1%
288001
 
< 0.1%
292503
 
< 0.1%
301501
 
< 0.1%
306001
 
< 0.1%
3150018
< 0.1%
31990.51
 
< 0.1%
ValueCountFrequency (%)
44100001
 
< 0.1%
31500001
 
< 0.1%
27000001
 
< 0.1%
23400001
 
< 0.1%
22500001
 
< 0.1%
19125001
 
< 0.1%
18000003
 
< 0.1%
17100001
 
< 0.1%
15750002
 
< 0.1%
135000010
< 0.1%

AMT_CREDIT
Real number (ℝ≥0)

Distinct2937
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516740.4356
Minimum45000
Maximum2245500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:24.517350image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile118512
Q1260640
median450000
Q3675000
95-th percentile1258650
Maximum2245500
Range2200500
Interquartile range (IQR)414360

Descriptive statistics

Standard deviation365397.0042
Coefficient of variation (CV)0.7071190467
Kurtosis3.342458789
Mean516740.4356
Median Absolute Deviation (MAD)199386
Skewness1.648830985
Sum2.518799579 × 1010
Variance1.335149707 × 1011
MonotonicityNot monotonic
2021-06-22T17:47:24.602336image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4500002118
 
4.3%
2250001836
 
3.8%
6750001426
 
2.9%
360000839
 
1.7%
900000835
 
1.7%
296280641
 
1.3%
135000629
 
1.3%
260640608
 
1.2%
539100565
 
1.2%
270000492
 
1.0%
Other values (2927)38755
79.5%
ValueCountFrequency (%)
45000111
0.2%
479702
 
< 0.1%
4950016
 
< 0.1%
4975273
0.1%
52128161
0.3%
5400022
 
< 0.1%
545041
 
< 0.1%
547293
 
< 0.1%
5569211
 
< 0.1%
5733911
 
< 0.1%
ValueCountFrequency (%)
22455001
 
< 0.1%
21600001
 
< 0.1%
215640062
0.1%
21402271
 
< 0.1%
21294451
 
< 0.1%
21024907
 
< 0.1%
208512017
 
< 0.1%
20647531
 
< 0.1%
20590561
 
< 0.1%
20382031
 
< 0.1%

AMT_ANNUITY
Real number (ℝ≥0)

Distinct7491
Distinct (%)15.4%
Missing24
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean29426.24021
Minimum2295
Maximum180576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:24.690309image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum2295
5-th percentile9409.5
Q117973
median26199
Q337390.5
95-th percentile58864.5
Maximum180576
Range178281
Interquartile range (IQR)19417.5

Descriptive statistics

Standard deviation16016.36832
Coefficient of variation (CV)0.5442886417
Kurtosis5.009575688
Mean29426.24021
Median Absolute Deviation (MAD)9144
Skewness1.474372305
Sum1433646423
Variance256524054
MonotonicityNot monotonic
2021-06-22T17:47:24.777808image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27652.5269
 
0.6%
30838.5232
 
0.5%
23107.5221
 
0.5%
22977220
 
0.5%
23539.5186
 
0.4%
43659176
 
0.4%
52452174
 
0.4%
35685172
 
0.4%
30951170
 
0.3%
25578159
 
0.3%
Other values (7481)46741
95.9%
ValueCountFrequency (%)
22951
< 0.1%
2425.51
< 0.1%
24392
< 0.1%
2596.51
< 0.1%
2965.51
< 0.1%
29791
< 0.1%
2983.51
< 0.1%
32941
< 0.1%
33212
< 0.1%
3343.51
< 0.1%
ValueCountFrequency (%)
1805762
 
< 0.1%
177826.53
< 0.1%
1776961
 
< 0.1%
176062.52
 
< 0.1%
173704.57
< 0.1%
1735742
 
< 0.1%
170968.51
 
< 0.1%
1644571
 
< 0.1%
1466101
 
< 0.1%
1385551
 
< 0.1%

AMT_GOODS_PRICE
Real number (ℝ≥0)

Distinct677
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean462618.8405
Minimum45000
Maximum2245500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:24.871624image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile103500
Q1225000
median396000
Q3630000
95-th percentile1125000
Maximum2245500
Range2200500
Interquartile range (IQR)405000

Descriptive statistics

Standard deviation336710.215
Coefficient of variation (CV)0.7278350676
Kurtosis3.704989983
Mean462618.8405
Median Absolute Deviation (MAD)171000
Skewness1.741483108
Sum2.254989276 × 1010
Variance1.133737689 × 1011
MonotonicityNot monotonic
2021-06-22T17:47:24.960510image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4500004689
 
9.6%
2250004450
 
9.1%
6750003472
 
7.1%
3600002007
 
4.1%
9000001988
 
4.1%
1350001573
 
3.2%
4950001243
 
2.6%
2700001225
 
2.5%
2385001090
 
2.2%
180000988
 
2.0%
Other values (667)26019
53.4%
ValueCountFrequency (%)
45000370
0.8%
4950034
 
0.1%
5400098
 
0.2%
5850083
 
0.2%
59377.51
 
< 0.1%
6300040
 
0.1%
631801
 
< 0.1%
67045.51
 
< 0.1%
67500368
0.8%
68179.51
 
< 0.1%
ValueCountFrequency (%)
22455001
 
< 0.1%
21600001
 
< 0.1%
1800000730
1.5%
17955004
 
< 0.1%
17910001
 
< 0.1%
17865006
 
< 0.1%
17820008
 
< 0.1%
17775007
 
< 0.1%
17730006
 
< 0.1%
1770430.51
 
< 0.1%

NAME_TYPE_SUITE
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing911
Missing (%)1.9%
Memory size3.2 MiB
Unaccompanied
39727 
Family
5881 
Spouse, partner
 
1448
Children
 
408
Other_B
 
211
Other values (2)
 
158

Characters and Unicode

Total characters579696
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnaccompanied
2nd rowUnaccompanied
3rd rowUnaccompanied
4th rowUnaccompanied
5th rowUnaccompanied
ValueCountFrequency (%)
Unaccompanied39727
81.5%
Family5881
 
12.1%
Spouse, partner1448
 
3.0%
Children408
 
0.8%
Other_B211
 
0.4%
Other_A109
 
0.2%
Group of people49
 
0.1%
(Missing)911
 
1.9%
ValueCountFrequency (%)
unaccompanied39727
80.5%
family5881
 
11.9%
spouse1448
 
2.9%
partner1448
 
2.9%
children408
 
0.8%
other_b211
 
0.4%
other_a109
 
0.2%
of49
 
0.1%
people49
 
0.1%
group49
 
0.1%

Most occurring characters

ValueCountFrequency (%)
a86783
15.0%
n81310
14.0%
c79454
13.7%
i46016
7.9%
m45608
7.9%
e43449
7.5%
p42770
7.4%
o41322
7.1%
d40135
6.9%
U39727
6.9%
Other values (18)33122
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter528229
91.1%
Uppercase Letter48153
 
8.3%
Space Separator1546
 
0.3%
Other Punctuation1448
 
0.2%
Connector Punctuation320
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
a86783
16.4%
n81310
15.4%
c79454
15.0%
i46016
8.7%
m45608
8.6%
e43449
8.2%
p42770
8.1%
o41322
7.8%
d40135
7.6%
l6338
 
1.2%
Other values (7)15044
 
2.8%
ValueCountFrequency (%)
U39727
82.5%
F5881
 
12.2%
S1448
 
3.0%
C408
 
0.8%
O320
 
0.7%
B211
 
0.4%
A109
 
0.2%
G49
 
0.1%
ValueCountFrequency (%)
,1448
100.0%
ValueCountFrequency (%)
1546
100.0%
ValueCountFrequency (%)
_320
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin576382
99.4%
Common3314
 
0.6%

Most frequent character per script

ValueCountFrequency (%)
a86783
15.1%
n81310
14.1%
c79454
13.8%
i46016
8.0%
m45608
7.9%
e43449
7.5%
p42770
7.4%
o41322
7.2%
d40135
7.0%
U39727
6.9%
Other values (15)29808
 
5.2%
ValueCountFrequency (%)
1546
46.7%
,1448
43.7%
_320
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII579696
100.0%

Most frequent character per block

ValueCountFrequency (%)
a86783
15.0%
n81310
14.0%
c79454
13.7%
i46016
7.9%
m45608
7.9%
e43449
7.5%
p42770
7.4%
o41322
7.1%
d40135
6.9%
U39727
6.9%
Other values (18)33122
 
5.7%

NAME_INCOME_TYPE
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Working
24533 
Commercial associate
11402 
Pensioner
9273 
State servant
3532 
Student
 
2
Other values (2)
 
2

Characters and Unicode

Total characters529179
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowWorking
2nd rowWorking
3rd rowWorking
4th rowWorking
5th rowWorking
ValueCountFrequency (%)
Working24533
50.3%
Commercial associate11402
23.4%
Pensioner9273
 
19.0%
State servant3532
 
7.2%
Student2
 
< 0.1%
Businessman1
 
< 0.1%
Unemployed1
 
< 0.1%
ValueCountFrequency (%)
working24533
38.5%
associate11402
17.9%
commercial11402
17.9%
pensioner9273
 
14.6%
servant3532
 
5.5%
state3532
 
5.5%
student2
 
< 0.1%
unemployed1
 
< 0.1%
businessman1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
o56611
10.7%
i56611
10.7%
r48740
9.2%
e48419
 
9.1%
n46616
 
8.8%
a41271
 
7.8%
s35612
 
6.7%
W24533
 
4.6%
k24533
 
4.6%
g24533
 
4.6%
Other values (15)121700
23.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter465501
88.0%
Uppercase Letter48744
 
9.2%
Space Separator14934
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
o56611
12.2%
i56611
12.2%
r48740
10.5%
e48419
10.4%
n46616
10.0%
a41271
8.9%
s35612
7.7%
k24533
5.3%
g24533
5.3%
m22806
 
4.9%
Other values (8)59749
12.8%
ValueCountFrequency (%)
W24533
50.3%
C11402
23.4%
P9273
 
19.0%
S3534
 
7.3%
B1
 
< 0.1%
U1
 
< 0.1%
ValueCountFrequency (%)
14934
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin514245
97.2%
Common14934
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
o56611
11.0%
i56611
11.0%
r48740
9.5%
e48419
9.4%
n46616
9.1%
a41271
 
8.0%
s35612
 
6.9%
W24533
 
4.8%
k24533
 
4.8%
g24533
 
4.8%
Other values (14)106766
20.8%
ValueCountFrequency (%)
14934
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII529179
100.0%

Most frequent character per block

ValueCountFrequency (%)
o56611
10.7%
i56611
10.7%
r48740
9.2%
e48419
 
9.1%
n46616
 
8.8%
a41271
 
7.8%
s35612
 
6.7%
W24533
 
4.6%
k24533
 
4.6%
g24533
 
4.6%
Other values (15)121700
23.0%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.8 MiB
Secondary / secondary special
33988 
Higher education
12516 
Incomplete higher
 
1724
Lower secondary
 
475
Academic degree
 
41

Characters and Unicode

Total characters1222956
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHigher education
2nd rowSecondary / secondary special
3rd rowHigher education
4th rowSecondary / secondary special
5th rowSecondary / secondary special
ValueCountFrequency (%)
Secondary / secondary special33988
69.7%
Higher education12516
 
25.7%
Incomplete higher1724
 
3.5%
Lower secondary475
 
1.0%
Academic degree41
 
0.1%
ValueCountFrequency (%)
secondary68451
41.4%
33988
20.5%
special33988
20.5%
higher14240
 
8.6%
education12516
 
7.6%
incomplete1724
 
1.0%
lower475
 
0.3%
degree41
 
< 0.1%
academic41
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e133282
10.9%
c116761
9.5%
116720
9.5%
a114996
9.4%
r83207
 
6.8%
o83166
 
6.8%
n82691
 
6.8%
d81049
 
6.6%
y68451
 
5.6%
s68451
 
5.6%
Other values (15)274182
22.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1023504
83.7%
Space Separator116720
 
9.5%
Uppercase Letter48744
 
4.0%
Other Punctuation33988
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
e133282
13.0%
c116761
11.4%
a114996
11.2%
r83207
8.1%
o83166
8.1%
n82691
8.1%
d81049
7.9%
y68451
6.7%
s68451
6.7%
i60785
5.9%
Other values (8)130665
12.8%
ValueCountFrequency (%)
S33988
69.7%
H12516
 
25.7%
I1724
 
3.5%
L475
 
1.0%
A41
 
0.1%
ValueCountFrequency (%)
116720
100.0%
ValueCountFrequency (%)
/33988
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1072248
87.7%
Common150708
 
12.3%

Most frequent character per script

ValueCountFrequency (%)
e133282
12.4%
c116761
10.9%
a114996
10.7%
r83207
7.8%
o83166
7.8%
n82691
7.7%
d81049
7.6%
y68451
 
6.4%
s68451
 
6.4%
i60785
 
5.7%
Other values (13)179409
16.7%
ValueCountFrequency (%)
116720
77.4%
/33988
 
22.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1222956
100.0%

Most frequent character per block

ValueCountFrequency (%)
e133282
10.9%
c116761
9.5%
116720
9.5%
a114996
9.4%
r83207
 
6.8%
o83166
 
6.8%
n82691
 
6.8%
d81049
 
6.6%
y68451
 
5.6%
s68451
 
5.6%
Other values (15)274182
22.4%
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.1 MiB
Married
32283 
Single / not married
7036 
Civil marriage
4261 
Separated
 
2955
Widow
 
2209

Characters and Unicode

Total characters463995
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMarried
2nd rowMarried
3rd rowMarried
4th rowMarried
5th rowMarried
ValueCountFrequency (%)
Married32283
66.2%
Single / not married7036
 
14.4%
Civil marriage4261
 
8.7%
Separated2955
 
6.1%
Widow2209
 
4.5%
ValueCountFrequency (%)
married39319
53.1%
7036
 
9.5%
single7036
 
9.5%
not7036
 
9.5%
civil4261
 
5.7%
marriage4261
 
5.7%
separated2955
 
4.0%
widow2209
 
3.0%

Most occurring characters

ValueCountFrequency (%)
r90115
19.4%
i61347
13.2%
e56526
12.2%
a53751
11.6%
d44483
9.6%
M32283
 
7.0%
25369
 
5.5%
n14072
 
3.0%
g11297
 
2.4%
l11297
 
2.4%
Other values (10)63455
13.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter382846
82.5%
Uppercase Letter48744
 
10.5%
Space Separator25369
 
5.5%
Other Punctuation7036
 
1.5%

Most frequent character per category

ValueCountFrequency (%)
r90115
23.5%
i61347
16.0%
e56526
14.8%
a53751
14.0%
d44483
11.6%
n14072
 
3.7%
g11297
 
3.0%
l11297
 
3.0%
m11297
 
3.0%
t9991
 
2.6%
Other values (4)18670
 
4.9%
ValueCountFrequency (%)
M32283
66.2%
S9991
 
20.5%
C4261
 
8.7%
W2209
 
4.5%
ValueCountFrequency (%)
25369
100.0%
ValueCountFrequency (%)
/7036
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin431590
93.0%
Common32405
 
7.0%

Most frequent character per script

ValueCountFrequency (%)
r90115
20.9%
i61347
14.2%
e56526
13.1%
a53751
12.5%
d44483
10.3%
M32283
 
7.5%
n14072
 
3.3%
g11297
 
2.6%
l11297
 
2.6%
m11297
 
2.6%
Other values (8)45122
10.5%
ValueCountFrequency (%)
25369
78.3%
/7036
 
21.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII463995
100.0%

Most frequent character per block

ValueCountFrequency (%)
r90115
19.4%
i61347
13.2%
e56526
12.2%
a53751
11.6%
d44483
9.6%
M32283
 
7.0%
25369
 
5.5%
n14072
 
3.0%
g11297
 
2.4%
l11297
 
2.4%
Other values (10)63455
13.7%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
House / apartment
43645 
With parents
 
2234
Municipal apartment
 
1617
Rented apartment
 
718
Office apartment
 
407

Characters and Unicode

Total characters819341
Distinct characters25
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHouse / apartment
2nd rowHouse / apartment
3rd rowHouse / apartment
4th rowHouse / apartment
5th rowHouse / apartment
ValueCountFrequency (%)
House / apartment43645
89.5%
With parents2234
 
4.6%
Municipal apartment1617
 
3.3%
Rented apartment718
 
1.5%
Office apartment407
 
0.8%
Co-op apartment123
 
0.3%
ValueCountFrequency (%)
apartment46510
33.0%
43645
30.9%
house43645
30.9%
parents2234
 
1.6%
with2234
 
1.6%
municipal1617
 
1.1%
rented718
 
0.5%
office407
 
0.3%
co-op123
 
0.1%

Most occurring characters

ValueCountFrequency (%)
t98206
12.0%
a96871
11.8%
e94232
11.5%
92389
11.3%
n51079
 
6.2%
p50484
 
6.2%
r48744
 
5.9%
m46510
 
5.7%
s45879
 
5.6%
u45262
 
5.5%
Other values (15)149685
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter634440
77.4%
Space Separator92389
 
11.3%
Uppercase Letter48744
 
5.9%
Other Punctuation43645
 
5.3%
Dash Punctuation123
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
t98206
15.5%
a96871
15.3%
e94232
14.9%
n51079
8.1%
p50484
8.0%
r48744
7.7%
m46510
7.3%
s45879
7.2%
u45262
7.1%
o43891
6.9%
Other values (6)13282
 
2.1%
ValueCountFrequency (%)
H43645
89.5%
W2234
 
4.6%
M1617
 
3.3%
R718
 
1.5%
O407
 
0.8%
C123
 
0.3%
ValueCountFrequency (%)
92389
100.0%
ValueCountFrequency (%)
/43645
100.0%
ValueCountFrequency (%)
-123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin683184
83.4%
Common136157
 
16.6%

Most frequent character per script

ValueCountFrequency (%)
t98206
14.4%
a96871
14.2%
e94232
13.8%
n51079
7.5%
p50484
7.4%
r48744
7.1%
m46510
6.8%
s45879
6.7%
u45262
6.6%
o43891
6.4%
Other values (12)62026
9.1%
ValueCountFrequency (%)
92389
67.9%
/43645
32.1%
-123
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII819341
100.0%

Most frequent character per block

ValueCountFrequency (%)
t98206
12.0%
a96871
11.8%
e94232
11.5%
92389
11.3%
n51079
 
6.2%
p50484
 
6.2%
r48744
 
5.9%
m46510
 
5.7%
s45879
 
5.6%
u45262
 
5.5%
Other values (15)149685
18.3%

REGION_POPULATION_RELATIVE
Real number (ℝ≥0)

Distinct81
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02122564108
Minimum0.000253
Maximum0.072508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:25.415136image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.000253
5-th percentile0.00496
Q10.010006
median0.01885
Q30.028663
95-th percentile0.04622
Maximum0.072508
Range0.072255
Interquartile range (IQR)0.018657

Descriptive statistics

Standard deviation0.01442819448
Coefficient of variation (CV)0.6797530604
Kurtosis2.986224229
Mean0.02122564108
Median Absolute Deviation (MAD)0.009193
Skewness1.493440372
Sum1034.622649
Variance0.0002081727961
MonotonicityNot monotonic
2021-06-22T17:47:25.504059image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0357922582
 
5.3%
0.046222497
 
5.1%
0.0307551991
 
4.1%
0.0263921805
 
3.7%
0.0286631740
 
3.6%
0.0251641599
 
3.3%
0.0313291595
 
3.3%
0.0725081565
 
3.2%
0.0191011466
 
3.0%
0.0207131327
 
2.7%
Other values (71)30577
62.7%
ValueCountFrequency (%)
0.0002531
 
< 0.1%
0.0005331
 
< 0.1%
0.0009385
 
< 0.1%
0.00127669
 
0.1%
0.00133328
 
0.1%
0.00141779
 
0.2%
0.002042256
0.5%
0.002134173
0.4%
0.002506119
 
0.2%
0.003069336
0.7%
ValueCountFrequency (%)
0.0725081565
3.2%
0.046222497
5.1%
0.0357922582
5.3%
0.0325611088
2.2%
0.0313291595
3.3%
0.0307551991
4.1%
0.0286631740
3.6%
0.0263921805
3.7%
0.0251641599
3.3%
0.02461860
 
1.8%

DAYS_BIRTH
Real number (ℝ)

Distinct15477
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16068.08461
Minimum-25195
Maximum-7338
Zeros0
Zeros (%)0.0%
Negative48744
Negative (%)100.0%
Memory size380.9 KiB
2021-06-22T17:47:25.677296image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-25195
5-th percentile-23201.7
Q1-19637
median-15785
Q3-12496
95-th percentile-9485
Maximum-7338
Range17857
Interquartile range (IQR)7141

Descriptive statistics

Standard deviation4325.900393
Coefficient of variation (CV)-0.2692231526
Kurtosis-1.034456638
Mean-16068.08461
Median Absolute Deviation (MAD)3547
Skewness-0.1178344142
Sum-783222716
Variance18713414.21
MonotonicityNot monotonic
2021-06-22T17:47:25.767641image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1159013
 
< 0.1%
-1160312
 
< 0.1%
-1581212
 
< 0.1%
-1199712
 
< 0.1%
-1166712
 
< 0.1%
-1203812
 
< 0.1%
-1621911
 
< 0.1%
-1536711
 
< 0.1%
-1144311
 
< 0.1%
-1750011
 
< 0.1%
Other values (15467)48627
99.8%
ValueCountFrequency (%)
-251951
< 0.1%
-251751
< 0.1%
-251541
< 0.1%
-251261
< 0.1%
-251211
< 0.1%
-250871
< 0.1%
-250801
< 0.1%
-250481
< 0.1%
-250231
< 0.1%
-250211
< 0.1%
ValueCountFrequency (%)
-73381
< 0.1%
-73721
< 0.1%
-76501
< 0.1%
-76761
< 0.1%
-76841
< 0.1%
-76961
< 0.1%
-77251
< 0.1%
-77311
< 0.1%
-77421
< 0.1%
-77561
< 0.1%

DAYS_EMPLOYED
Real number (ℝ)

Distinct7863
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67485.36632
Minimum-17463
Maximum365243
Zeros0
Zeros (%)0.0%
Negative39470
Negative (%)81.0%
Memory size380.9 KiB
2021-06-22T17:47:25.862070image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-17463
5-th percentile-6728
Q1-2910
median-1293
Q3-296
95-th percentile365243
Maximum365243
Range382706
Interquartile range (IQR)2614

Descriptive statistics

Standard deviation144348.5071
Coefficient of variation (CV)2.138960118
Kurtosis0.4899801366
Mean67485.36632
Median Absolute Deviation (MAD)1181
Skewness1.577524976
Sum3289506696
Variance2.083649151 × 1010
MonotonicityNot monotonic
2021-06-22T17:47:25.947390image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3652439274
 
19.0%
-111932
 
0.1%
-38931
 
0.1%
-124030
 
0.1%
-14828
 
0.1%
-65527
 
0.1%
-27727
 
0.1%
-102026
 
0.1%
-19226
 
0.1%
-134226
 
0.1%
Other values (7853)39217
80.5%
ValueCountFrequency (%)
-174631
< 0.1%
-171241
< 0.1%
-170771
< 0.1%
-167741
< 0.1%
-165471
< 0.1%
-164321
< 0.1%
-164251
< 0.1%
-163541
< 0.1%
-163071
< 0.1%
-162951
< 0.1%
ValueCountFrequency (%)
3652439274
19.0%
-11
 
< 0.1%
-51
 
< 0.1%
-141
 
< 0.1%
-161
 
< 0.1%
-181
 
< 0.1%
-191
 
< 0.1%
-241
 
< 0.1%
-251
 
< 0.1%
-262
 
< 0.1%

DAYS_REGISTRATION
Real number (ℝ)

Distinct12618
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4967.652716
Minimum-23722
Maximum0
Zeros13
Zeros (%)< 0.1%
Negative48731
Negative (%)> 99.9%
Memory size380.9 KiB
2021-06-22T17:47:26.036780image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-23722
5-th percentile-11439.7
Q1-7459.25
median-4490
Q3-1901
95-th percentile-345
Maximum0
Range23722
Interquartile range (IQR)5558.25

Descriptive statistics

Standard deviation3552.612035
Coefficient of variation (CV)-0.7151490328
Kurtosis-0.30050777
Mean-4967.652716
Median Absolute Deviation (MAD)2759
Skewness-0.6132657508
Sum-242143264
Variance12621052.27
MonotonicityNot monotonic
2021-06-22T17:47:26.125099image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-81820
 
< 0.1%
-42719
 
< 0.1%
-99118
 
< 0.1%
-375816
 
< 0.1%
-81915
 
< 0.1%
-65015
 
< 0.1%
-22315
 
< 0.1%
-60215
 
< 0.1%
-143515
 
< 0.1%
-83215
 
< 0.1%
Other values (12608)48581
99.7%
ValueCountFrequency (%)
-237221
< 0.1%
-228421
< 0.1%
-210991
< 0.1%
-198421
< 0.1%
-192631
< 0.1%
-191021
< 0.1%
-188581
< 0.1%
-187471
< 0.1%
-186121
< 0.1%
-185901
< 0.1%
ValueCountFrequency (%)
013
< 0.1%
-110
< 0.1%
-27
< 0.1%
-310
< 0.1%
-47
< 0.1%
-59
< 0.1%
-611
< 0.1%
-713
< 0.1%
-88
< 0.1%
-97
< 0.1%

DAYS_ID_PUBLISH
Real number (ℝ)

Distinct5880
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3051.712949
Minimum-6348
Maximum0
Zeros5
Zeros (%)< 0.1%
Negative48739
Negative (%)> 99.9%
Memory size380.9 KiB
2021-06-22T17:47:26.214192image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-6348
5-th percentile-5124
Q1-4448
median-3234
Q3-1706
95-th percentile-381
Maximum0
Range6348
Interquartile range (IQR)2742

Descriptive statistics

Standard deviation1569.276709
Coefficient of variation (CV)-0.5142281516
Kurtosis-1.164389067
Mean-3051.712949
Median Absolute Deviation (MAD)1309
Skewness0.2836576228
Sum-148752696
Variance2462629.39
MonotonicityNot monotonic
2021-06-22T17:47:26.299797image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-455740
 
0.1%
-425539
 
0.1%
-429135
 
0.1%
-427732
 
0.1%
-459232
 
0.1%
-454330
 
0.1%
-426330
 
0.1%
-427030
 
0.1%
-483229
 
0.1%
-431929
 
0.1%
Other values (5870)48418
99.3%
ValueCountFrequency (%)
-63481
< 0.1%
-63461
< 0.1%
-63311
< 0.1%
-63281
< 0.1%
-63171
< 0.1%
-63151
< 0.1%
-62991
< 0.1%
-62961
< 0.1%
-62951
< 0.1%
-62931
< 0.1%
ValueCountFrequency (%)
05
 
< 0.1%
-14
 
< 0.1%
-27
< 0.1%
-37
< 0.1%
-48
< 0.1%
-513
< 0.1%
-610
< 0.1%
-712
< 0.1%
-817
< 0.1%
-96
 
< 0.1%

OWN_CAR_AGE
Real number (ℝ≥0)

MISSING

Distinct52
Distinct (%)0.3%
Missing32312
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean11.78602726
Minimum0
Maximum74
Zeros118
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:26.389353image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median9
Q315
95-th percentile28
Maximum74
Range74
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.46288906
Coefficient of variation (CV)0.9725829409
Kurtosis10.59662902
Mean11.78602726
Median Absolute Deviation (MAD)5
Skewness2.905912913
Sum193668
Variance131.3978256
MonotonicityNot monotonic
2021-06-22T17:47:26.474289image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41352
 
2.8%
71201
 
2.5%
81097
 
2.3%
31027
 
2.1%
2980
 
2.0%
9849
 
1.7%
5829
 
1.7%
10764
 
1.6%
11710
 
1.5%
14706
 
1.4%
Other values (42)6917
 
14.2%
(Missing)32312
66.3%
ValueCountFrequency (%)
0118
 
0.2%
1650
1.3%
2980
2.0%
31027
2.1%
41352
2.8%
5829
1.7%
6498
 
1.0%
71201
2.5%
81097
2.3%
9849
1.7%
ValueCountFrequency (%)
741
 
< 0.1%
65459
0.9%
561
 
< 0.1%
551
 
< 0.1%
521
 
< 0.1%
501
 
< 0.1%
491
 
< 0.1%
443
 
< 0.1%
431
 
< 0.1%
4210
 
< 0.1%

FLAG_MOBIL
Real number (ℝ≥0)

SKEWED

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9999794847
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:26.547599image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.004529386877
Coefficient of variation (CV)0.0045294798
Kurtosis48744
Mean0.9999794847
Median Absolute Deviation (MAD)0
Skewness-220.7804339
Sum48743
Variance2.051534548 × 10-5
MonotonicityNot monotonic
2021-06-22T17:47:26.606478image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
148743
> 99.9%
01
 
< 0.1%
ValueCountFrequency (%)
01
 
< 0.1%
148743
> 99.9%
ValueCountFrequency (%)
148743
> 99.9%
01
 
< 0.1%

FLAG_EMP_PHONE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8097201707
Minimum0
Maximum1
Zeros9275
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:26.664575image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3925258932
Coefficient of variation (CV)0.4847673398
Kurtosis0.4905857532
Mean0.8097201707
Median Absolute Deviation (MAD)0
Skewness-1.578152599
Sum39469
Variance0.1540765768
MonotonicityNot monotonic
2021-06-22T17:47:26.725855image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
139469
81.0%
09275
 
19.0%
ValueCountFrequency (%)
09275
 
19.0%
139469
81.0%
ValueCountFrequency (%)
139469
81.0%
09275
 
19.0%

FLAG_WORK_PHONE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2047021172
Minimum0
Maximum1
Zeros38766
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:26.785434image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4034879185
Coefficient of variation (CV)1.971097925
Kurtosis0.1426755453
Mean0.2047021172
Median Absolute Deviation (MAD)0
Skewness1.463786082
Sum9978
Variance0.1628025004
MonotonicityNot monotonic
2021-06-22T17:47:26.846683image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
038766
79.5%
19978
 
20.5%
ValueCountFrequency (%)
038766
79.5%
19978
 
20.5%
ValueCountFrequency (%)
19978
 
20.5%
038766
79.5%

FLAG_CONT_MOBILE
Real number (ℝ≥0)

SKEWED

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9983998031
Minimum0
Maximum1
Zeros78
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:26.906862image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03997085305
Coefficient of variation (CV)0.0400349168
Kurtosis619.9883973
Mean0.9983998031
Median Absolute Deviation (MAD)0
Skewness-24.93918521
Sum48666
Variance0.001597669094
MonotonicityNot monotonic
2021-06-22T17:47:26.964861image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
148666
99.8%
078
 
0.2%
ValueCountFrequency (%)
078
 
0.2%
148666
99.8%
ValueCountFrequency (%)
148666
99.8%
078
 
0.2%

FLAG_PHONE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2631298211
Minimum0
Maximum1
Zeros35918
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:27.022791image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4403367986
Coefficient of variation (CV)1.673458359
Kurtosis-0.8424667469
Mean0.2631298211
Median Absolute Deviation (MAD)0
Skewness1.075903259
Sum12826
Variance0.1938964962
MonotonicityNot monotonic
2021-06-22T17:47:27.083405image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
035918
73.7%
112826
 
26.3%
ValueCountFrequency (%)
035918
73.7%
112826
 
26.3%
ValueCountFrequency (%)
112826
 
26.3%
035918
73.7%

FLAG_EMAIL
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.162645659
Minimum0
Maximum1
Zeros40816
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:27.143357image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3690458544
Coefficient of variation (CV)2.269017549
Kurtosis1.342833398
Mean0.162645659
Median Absolute Deviation (MAD)0
Skewness1.82832664
Sum7928
Variance0.1361948427
MonotonicityNot monotonic
2021-06-22T17:47:27.204526image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
040816
83.7%
17928
 
16.3%
ValueCountFrequency (%)
040816
83.7%
17928
 
16.3%
ValueCountFrequency (%)
17928
 
16.3%
040816
83.7%

OCCUPATION_TYPE
Categorical

MISSING

Distinct18
Distinct (%)0.1%
Missing15605
Missing (%)32.0%
Memory size2.6 MiB
Laborers
8655 
Sales staff
5072 
Core staff
4361 
Managers
3574 
Drivers
2773 
Other values (13)
8704 

Characters and Unicode

Total characters349155
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLow-skill Laborers
2nd rowDrivers
3rd rowSales staff
4th rowDrivers
5th rowHigh skill tech staff
ValueCountFrequency (%)
Laborers8655
17.8%
Sales staff5072
 
10.4%
Core staff4361
 
8.9%
Managers3574
 
7.3%
Drivers2773
 
5.7%
High skill tech staff1854
 
3.8%
Accountants1628
 
3.3%
Medicine staff1316
 
2.7%
Security staff915
 
1.9%
Cooking staff894
 
1.8%
Other values (8)2097
 
4.3%
(Missing)15605
32.0%
ValueCountFrequency (%)
staff15886
29.6%
laborers8927
16.7%
sales5072
 
9.5%
core4361
 
8.1%
managers3574
 
6.7%
drivers2773
 
5.2%
tech1854
 
3.5%
skill1854
 
3.5%
high1854
 
3.5%
accountants1628
 
3.0%
Other values (13)5815
 
10.8%

Most occurring characters

ValueCountFrequency (%)
s40970
11.7%
a40617
11.6%
r33942
9.7%
e33400
 
9.6%
f31772
 
9.1%
t23033
 
6.6%
20459
 
5.9%
o16976
 
4.9%
i13151
 
3.8%
n10668
 
3.1%
Other values (26)84167
24.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter294650
84.4%
Uppercase Letter33596
 
9.6%
Space Separator20459
 
5.9%
Dash Punctuation272
 
0.1%
Other Punctuation178
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
s40970
13.9%
a40617
13.8%
r33942
11.5%
e33400
11.3%
f31772
10.8%
t23033
7.8%
o16976
5.8%
i13151
 
4.5%
n10668
 
3.6%
l10118
 
3.4%
Other values (11)40003
13.6%
ValueCountFrequency (%)
L9199
27.4%
S6200
18.5%
C5911
17.6%
M4890
14.6%
D2773
 
8.3%
H1958
 
5.8%
A1628
 
4.8%
P455
 
1.4%
R242
 
0.7%
W178
 
0.5%
Other values (2)162
 
0.5%
ValueCountFrequency (%)
-272
100.0%
ValueCountFrequency (%)
20459
100.0%
ValueCountFrequency (%)
/178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin328246
94.0%
Common20909
 
6.0%

Most frequent character per script

ValueCountFrequency (%)
s40970
12.5%
a40617
12.4%
r33942
10.3%
e33400
10.2%
f31772
9.7%
t23033
 
7.0%
o16976
 
5.2%
i13151
 
4.0%
n10668
 
3.3%
l10118
 
3.1%
Other values (23)73599
22.4%
ValueCountFrequency (%)
20459
97.8%
-272
 
1.3%
/178
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII349155
100.0%

Most frequent character per block

ValueCountFrequency (%)
s40970
11.7%
a40617
11.6%
r33942
9.7%
e33400
 
9.6%
f31772
 
9.1%
t23033
 
6.6%
20459
 
5.9%
o16976
 
4.9%
i13151
 
3.8%
n10668
 
3.1%
Other values (26)84167
24.1%

CNT_FAM_MEMBERS
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.146766782
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:27.356523image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum21
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8904228948
Coefficient of variation (CV)0.41477393
Kurtosis6.325914618
Mean2.146766782
Median Absolute Deviation (MAD)0
Skewness1.167688389
Sum104642
Variance0.7928529316
MonotonicityNot monotonic
2021-06-22T17:47:27.527047image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
226054
53.5%
110251
 
21.0%
38173
 
16.8%
43690
 
7.6%
5512
 
1.1%
643
 
0.1%
712
 
< 0.1%
103
 
< 0.1%
82
 
< 0.1%
132
 
< 0.1%
Other values (2)2
 
< 0.1%
ValueCountFrequency (%)
110251
 
21.0%
226054
53.5%
38173
 
16.8%
43690
 
7.6%
5512
 
1.1%
643
 
0.1%
712
 
< 0.1%
82
 
< 0.1%
91
 
< 0.1%
103
 
< 0.1%
ValueCountFrequency (%)
211
 
< 0.1%
132
 
< 0.1%
103
 
< 0.1%
91
 
< 0.1%
82
 
< 0.1%
712
 
< 0.1%
643
 
0.1%
5512
 
1.1%
43690
7.6%
38173
16.8%

REGION_RATING_CLIENT
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.038158543
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:27.595900image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.52269396
Coefficient of variation (CV)0.2564540241
Kurtosis0.63400427
Mean2.038158543
Median Absolute Deviation (MAD)0
Skewness0.04781547564
Sum99348
Variance0.2732089759
MonotonicityNot monotonic
2021-06-22T17:47:27.658064image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
235356
72.5%
37624
 
15.6%
15764
 
11.8%
ValueCountFrequency (%)
15764
 
11.8%
235356
72.5%
37624
 
15.6%
ValueCountFrequency (%)
37624
 
15.6%
235356
72.5%
15764
 
11.8%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.012596422
Minimum-1
Maximum3
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)< 0.1%
Memory size380.9 KiB
2021-06-22T17:47:27.723562image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5158041404
Coefficient of variation (CV)0.2562879148
Kurtosis0.7769899471
Mean2.012596422
Median Absolute Deviation (MAD)0
Skewness0.01492661851
Sum98102
Variance0.2660539113
MonotonicityNot monotonic
2021-06-22T17:47:27.785910image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
235776
73.4%
36792
 
13.9%
16175
 
12.7%
-11
 
< 0.1%
ValueCountFrequency (%)
-11
 
< 0.1%
16175
 
12.7%
235776
73.4%
36792
 
13.9%
ValueCountFrequency (%)
36792
 
13.9%
235776
73.4%
16175
 
12.7%
-11
 
< 0.1%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.0 MiB
TUESDAY
9751 
WEDNESDAY
8457 
THURSDAY
8418 
MONDAY
8406 
FRIDAY
7250 
Other values (2)
6462 

Characters and Unicode

Total characters353628
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTUESDAY
2nd rowFRIDAY
3rd rowMONDAY
4th rowWEDNESDAY
5th rowFRIDAY
ValueCountFrequency (%)
TUESDAY9751
20.0%
WEDNESDAY8457
17.3%
THURSDAY8418
17.3%
MONDAY8406
17.2%
FRIDAY7250
14.9%
SATURDAY4603
9.4%
SUNDAY1859
 
3.8%
ValueCountFrequency (%)
tuesday9751
20.0%
wednesday8457
17.3%
thursday8418
17.3%
monday8406
17.2%
friday7250
14.9%
saturday4603
9.4%
sunday1859
 
3.8%

Most occurring characters

ValueCountFrequency (%)
D57201
16.2%
A53347
15.1%
Y48744
13.8%
S33088
9.4%
E26665
7.5%
U24631
7.0%
T22772
 
6.4%
R20271
 
5.7%
N18722
 
5.3%
W8457
 
2.4%
Other values (5)39730
11.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter353628
100.0%

Most frequent character per category

ValueCountFrequency (%)
D57201
16.2%
A53347
15.1%
Y48744
13.8%
S33088
9.4%
E26665
7.5%
U24631
7.0%
T22772
 
6.4%
R20271
 
5.7%
N18722
 
5.3%
W8457
 
2.4%
Other values (5)39730
11.2%

Most occurring scripts

ValueCountFrequency (%)
Latin353628
100.0%

Most frequent character per script

ValueCountFrequency (%)
D57201
16.2%
A53347
15.1%
Y48744
13.8%
S33088
9.4%
E26665
7.5%
U24631
7.0%
T22772
 
6.4%
R20271
 
5.7%
N18722
 
5.3%
W8457
 
2.4%
Other values (5)39730
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII353628
100.0%

Most frequent character per block

ValueCountFrequency (%)
D57201
16.2%
A53347
15.1%
Y48744
13.8%
S33088
9.4%
E26665
7.5%
U24631
7.0%
T22772
 
6.4%
R20271
 
5.7%
N18722
 
5.3%
W8457
 
2.4%
Other values (5)39730
11.2%

HOUR_APPR_PROCESS_START
Real number (ℝ≥0)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.00736501
Minimum0
Maximum23
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:27.951509image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median12
Q314
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.278172039
Coefficient of variation (CV)0.273013441
Kurtosis-0.1698286019
Mean12.00736501
Median Absolute Deviation (MAD)2
Skewness0.01381611796
Sum585287
Variance10.74641191
MonotonicityNot monotonic
2021-06-22T17:47:28.024491image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
106474
13.3%
115934
12.2%
125418
11.1%
134715
9.7%
94341
8.9%
144197
8.6%
153761
7.7%
163106
6.4%
82574
 
5.3%
172356
 
4.8%
Other values (14)5868
12.0%
ValueCountFrequency (%)
08
 
< 0.1%
119
 
< 0.1%
239
 
0.1%
3240
 
0.5%
4302
 
0.6%
5554
 
1.1%
61013
 
2.1%
71306
 
2.7%
82574
5.3%
94341
8.9%
ValueCountFrequency (%)
237
 
< 0.1%
2225
 
0.1%
2169
 
0.1%
20214
 
0.4%
19629
 
1.3%
181443
 
3.0%
172356
4.8%
163106
6.4%
153761
7.7%
144197
8.6%

REG_REGION_NOT_LIVE_REGION
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01883308715
Minimum0
Maximum1
Zeros47826
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:28.090549image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1359366804
Coefficient of variation (CV)7.217971186
Kurtosis48.12229297
Mean0.01883308715
Median Absolute Deviation (MAD)0
Skewness7.079570501
Sum918
Variance0.01847878108
MonotonicityNot monotonic
2021-06-22T17:47:28.150865image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
047826
98.1%
1918
 
1.9%
ValueCountFrequency (%)
047826
98.1%
1918
 
1.9%
ValueCountFrequency (%)
1918
 
1.9%
047826
98.1%

REG_REGION_NOT_WORK_REGION
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05516576399
Minimum0
Maximum1
Zeros46055
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:28.211274image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2283058734
Coefficient of variation (CV)4.138542763
Kurtosis13.18704727
Mean0.05516576399
Median Absolute Deviation (MAD)0
Skewness3.896986811
Sum2689
Variance0.05212357181
MonotonicityNot monotonic
2021-06-22T17:47:28.268961image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
046055
94.5%
12689
 
5.5%
ValueCountFrequency (%)
046055
94.5%
12689
 
5.5%
ValueCountFrequency (%)
12689
 
5.5%
046055
94.5%

LIVE_REGION_NOT_WORK_REGION
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04203594289
Minimum0
Maximum1
Zeros46695
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:28.325300image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2006732382
Coefficient of variation (CV)4.773848865
Kurtosis18.83510102
Mean0.04203594289
Median Absolute Deviation (MAD)0
Skewness4.564463628
Sum2049
Variance0.04026974854
MonotonicityNot monotonic
2021-06-22T17:47:28.382017image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
046695
95.8%
12049
 
4.2%
ValueCountFrequency (%)
046695
95.8%
12049
 
4.2%
ValueCountFrequency (%)
12049
 
4.2%
046695
95.8%

REG_CITY_NOT_LIVE_CITY
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07746594453
Minimum0
Maximum1
Zeros44968
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:28.438711image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2673320746
Coefficient of variation (CV)3.450962565
Kurtosis7.993812174
Mean0.07746594453
Median Absolute Deviation (MAD)0
Skewness3.161247251
Sum3776
Variance0.07146643812
MonotonicityNot monotonic
2021-06-22T17:47:28.495787image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
044968
92.3%
13776
 
7.7%
ValueCountFrequency (%)
044968
92.3%
13776
 
7.7%
ValueCountFrequency (%)
13776
 
7.7%
044968
92.3%

REG_CITY_NOT_WORK_CITY
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2246635483
Minimum0
Maximum1
Zeros37793
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:28.552431image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4173648428
Coefficient of variation (CV)1.857732801
Kurtosis-0.2590404706
Mean0.2246635483
Median Absolute Deviation (MAD)0
Skewness1.319458283
Sum10951
Variance0.174193412
MonotonicityNot monotonic
2021-06-22T17:47:28.612153image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
037793
77.5%
110951
 
22.5%
ValueCountFrequency (%)
037793
77.5%
110951
 
22.5%
ValueCountFrequency (%)
110951
 
22.5%
037793
77.5%

LIVE_CITY_NOT_WORK_CITY
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1742163138
Minimum0
Maximum1
Zeros40252
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:28.671323image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3792992767
Coefficient of variation (CV)2.177174275
Kurtosis0.9511821187
Mean0.1742163138
Median Absolute Deviation (MAD)0
Skewness1.717889139
Sum8492
Variance0.1438679413
MonotonicityNot monotonic
2021-06-22T17:47:28.732375image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
040252
82.6%
18492
 
17.4%
ValueCountFrequency (%)
040252
82.6%
18492
 
17.4%
ValueCountFrequency (%)
18492
 
17.4%
040252
82.6%

ORGANIZATION_TYPE
Categorical

HIGH CARDINALITY

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
Business Entity Type 3
10840 
XNA
9274 
Self-employed
5920 
Other
2707 
Medicine
 
1716
Other values (53)
18287 

Characters and Unicode

Total characters605649
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKindergarten
2nd rowSelf-employed
3rd rowTransport: type 3
4th rowBusiness Entity Type 3
5th rowBusiness Entity Type 3
ValueCountFrequency (%)
Business Entity Type 310840
22.2%
XNA9274
19.0%
Self-employed5920
12.1%
Other2707
 
5.6%
Medicine1716
 
3.5%
Government1508
 
3.1%
Business Entity Type 21479
 
3.0%
Trade: type 71303
 
2.7%
School1287
 
2.6%
Construction1039
 
2.1%
Other values (48)11671
23.9%
ValueCountFrequency (%)
type19356
19.2%
entity13206
13.1%
business13206
13.1%
312081
12.0%
xna9274
9.2%
self-employed5920
 
5.9%
other2707
 
2.7%
trade2332
 
2.3%
industry2277
 
2.3%
22246
 
2.2%
Other values (40)18451
18.3%

Most occurring characters

ValueCountFrequency (%)
e68086
 
11.2%
52312
 
8.6%
t47420
 
7.8%
s46897
 
7.7%
y42570
 
7.0%
n41191
 
6.8%
i37348
 
6.2%
p26817
 
4.4%
u18840
 
3.1%
r18680
 
3.1%
Other values (42)205488
33.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter427290
70.6%
Uppercase Letter94098
 
15.5%
Space Separator52312
 
8.6%
Decimal Number19879
 
3.3%
Other Punctuation6150
 
1.0%
Dash Punctuation5920
 
1.0%

Most frequent character per category

ValueCountFrequency (%)
e68086
15.9%
t47420
11.1%
s46897
11.0%
y42570
10.0%
n41191
9.6%
i37348
8.7%
p26817
 
6.3%
u18840
 
4.4%
r18680
 
4.4%
l15355
 
3.6%
Other values (11)64086
15.0%
ValueCountFrequency (%)
T17174
18.3%
B13580
14.4%
E13453
14.3%
A9637
10.2%
X9274
9.9%
N9274
9.9%
S8375
8.9%
O2707
 
2.9%
M2632
 
2.8%
I2357
 
2.5%
Other values (8)5635
 
6.0%
ValueCountFrequency (%)
312087
60.8%
22323
 
11.7%
12103
 
10.6%
71520
 
7.6%
41065
 
5.4%
9499
 
2.5%
6149
 
0.7%
5106
 
0.5%
024
 
0.1%
83
 
< 0.1%
ValueCountFrequency (%)
-5920
100.0%
ValueCountFrequency (%)
:6150
100.0%
ValueCountFrequency (%)
52312
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin521388
86.1%
Common84261
 
13.9%

Most frequent character per script

ValueCountFrequency (%)
e68086
13.1%
t47420
 
9.1%
s46897
 
9.0%
y42570
 
8.2%
n41191
 
7.9%
i37348
 
7.2%
p26817
 
5.1%
u18840
 
3.6%
r18680
 
3.6%
T17174
 
3.3%
Other values (29)156365
30.0%
ValueCountFrequency (%)
52312
62.1%
312087
 
14.3%
:6150
 
7.3%
-5920
 
7.0%
22323
 
2.8%
12103
 
2.5%
71520
 
1.8%
41065
 
1.3%
9499
 
0.6%
6149
 
0.2%
Other values (3)133
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII605649
100.0%

Most frequent character per block

ValueCountFrequency (%)
e68086
 
11.2%
52312
 
8.6%
t47420
 
7.8%
s46897
 
7.7%
y42570
 
7.0%
n41191
 
6.8%
i37348
 
6.2%
p26817
 
4.4%
u18840
 
3.1%
r18680
 
3.1%
Other values (42)205488
33.9%

EXT_SOURCE_1
Real number (ℝ≥0)

MISSING

Distinct27207
Distinct (%)96.4%
Missing20532
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean0.5011798106
Minimum0.0134579105
Maximum0.9391445327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:28.915371image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.0134579105
5-th percentile0.1571424408
Q10.343695039
median0.5067712615
Q30.6659559435
95-th percentile0.8212550629
Maximum0.9391445327
Range0.9256866222
Interquartile range (IQR)0.3222609045

Descriptive statistics

Standard deviation0.2051423135
Coefficient of variation (CV)0.4093187897
Kurtosis-0.8748052781
Mean0.5011798106
Median Absolute Deviation (MAD)0.1609110903
Skewness-0.1217883939
Sum14139.28482
Variance0.04208336879
MonotonicityNot monotonic
2021-06-22T17:47:29.002338image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.37766840524
 
< 0.1%
0.4152812274
 
< 0.1%
0.35391371863
 
< 0.1%
0.48724575193
 
< 0.1%
0.55549531073
 
< 0.1%
0.24131341573
 
< 0.1%
0.63412870773
 
< 0.1%
0.61795790673
 
< 0.1%
0.44422653113
 
< 0.1%
0.48551007893
 
< 0.1%
Other values (27197)28180
57.8%
(Missing)20532
42.1%
ValueCountFrequency (%)
0.01345791051
< 0.1%
0.015002939221
< 0.1%
0.015725049561
< 0.1%
0.015832811771
< 0.1%
0.016019140371
< 0.1%
0.017315568751
< 0.1%
0.017517058761
< 0.1%
0.017575114521
< 0.1%
0.017736860451
< 0.1%
0.019318410851
< 0.1%
ValueCountFrequency (%)
0.93914453271
< 0.1%
0.93414486621
< 0.1%
0.93207998381
< 0.1%
0.9314708581
< 0.1%
0.92913316061
< 0.1%
0.92886378861
< 0.1%
0.9269366011
< 0.1%
0.92485275371
< 0.1%
0.92416797921
< 0.1%
0.92398502841
< 0.1%

EXT_SOURCE_2
Real number (ℝ≥0)

Distinct38885
Distinct (%)79.8%
Missing8
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.5180210757
Minimum8.097855876 × 10-6
Maximum0.8549996664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:29.095172image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum8.097855876 × 10-6
5-th percentile0.1545080859
Q10.4080661709
median0.5587579431
Q30.6584970137
95-th percentile0.7477650772
Maximum0.8549996664
Range0.8549915685
Interquartile range (IQR)0.2504308428

Descriptive statistics

Standard deviation0.1812781169
Coefficient of variation (CV)0.3499435166
Kurtosis-0.1131968524
Mean0.5180210757
Median Absolute Deviation (MAD)0.1160592376
Skewness-0.7810579986
Sum25246.27514
Variance0.03286175566
MonotonicityNot monotonic
2021-06-22T17:47:29.180406image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2858978721100
 
0.2%
0.251877039768
 
0.1%
0.571619762655
 
0.1%
0.563763097451
 
0.1%
0.250840064550
 
0.1%
0.151242950648
 
0.1%
0.472400276535
 
0.1%
0.342465949435
 
0.1%
0.150411126233
 
0.1%
0.48213274630
 
0.1%
Other values (38875)48231
98.9%
ValueCountFrequency (%)
8.097855876 × 10-61
< 0.1%
1.788693782 × 10-51
< 0.1%
2.546852218 × 10-51
< 0.1%
4.299709119 × 10-51
< 0.1%
0.00010493878911
< 0.1%
0.00011135213381
< 0.1%
0.00011395810171
< 0.1%
0.0001845900111
< 0.1%
0.00020514013741
< 0.1%
0.00021266615551
< 0.1%
ValueCountFrequency (%)
0.85499966645
< 0.1%
0.82512892171
 
< 0.1%
0.81793510071
 
< 0.1%
0.81682855761
 
< 0.1%
0.81366669621
 
< 0.1%
0.81288631761
 
< 0.1%
0.81278984141
 
< 0.1%
0.81256014061
 
< 0.1%
0.81091934131
 
< 0.1%
0.81091263541
 
< 0.1%

EXT_SOURCE_3
Real number (ℝ≥0)

MISSING

Distinct702
Distinct (%)1.8%
Missing8668
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean0.5001056254
Minimum0.0005272652387
Maximum0.8825303128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:29.269224image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.0005272652387
5-th percentile0.1595195405
Q10.3639452386
median0.5190973382
Q30.652896552
95-th percentile0.7751552675
Maximum0.8825303128
Range0.8820030476
Interquartile range (IQR)0.2889513134

Descriptive statistics

Standard deviation0.1894979947
Coefficient of variation (CV)0.3789159431
Kurtosis-0.7330189115
Mean0.5001056254
Median Absolute Deviation (MAD)0.1433863286
Skewness-0.336207788
Sum20042.23304
Variance0.03590948999
MonotonicityNot monotonic
2021-06-22T17:47:29.357732image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7062051097219
 
0.4%
0.7463002131200
 
0.4%
0.6706517531197
 
0.4%
0.5954562029197
 
0.4%
0.7136313997195
 
0.4%
0.5814837058194
 
0.4%
0.6263042767193
 
0.4%
0.5549467685187
 
0.4%
0.6832688314185
 
0.4%
0.5585066277183
 
0.4%
Other values (692)38126
78.2%
(Missing)8668
 
17.8%
ValueCountFrequency (%)
0.000527265238764
0.1%
0.021491515741
 
< 0.1%
0.022420680011
 
< 0.1%
0.024057196421
 
< 0.1%
0.024743940071
 
< 0.1%
0.026545429681
 
< 0.1%
0.026732446342
 
< 0.1%
0.027493407062
 
< 0.1%
0.028275399831
 
< 0.1%
0.028474247881
 
< 0.1%
ValueCountFrequency (%)
0.88253031282
< 0.1%
0.8810265752
< 0.1%
0.88026848043
< 0.1%
0.8787397671
 
< 0.1%
0.87719425823
< 0.1%
0.87245581621
 
< 0.1%
0.86921080091
 
< 0.1%
0.86589591532
< 0.1%
0.86336338243
< 0.1%
0.86251030261
 
< 0.1%

APARTMENTS_AVG
Real number (ℝ≥0)

MISSING

Distinct1543
Distinct (%)6.2%
Missing23887
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean0.1223877379
Minimum0
Maximum1
Zeros121
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:29.452510image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0113
Q10.0619
median0.0928
Q30.1485
95-th percentile0.334
Maximum1
Range1
Interquartile range (IQR)0.0866

Descriptive statistics

Standard deviation0.1131123896
Coefficient of variation (CV)0.9242134182
Kurtosis11.8839179
Mean0.1223877379
Median Absolute Deviation (MAD)0.0433
Skewness2.731395244
Sum3042.192
Variance0.01279441267
MonotonicityNot monotonic
2021-06-22T17:47:29.548473image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08251110
 
2.3%
0.06191013
 
2.1%
0.0928768
 
1.6%
0.0722633
 
1.3%
0.1485487
 
1.0%
0.0082479
 
1.0%
0.1031438
 
0.9%
0.0124427
 
0.9%
0.0165424
 
0.9%
0.1237373
 
0.8%
Other values (1533)18705
38.4%
(Missing)23887
49.0%
ValueCountFrequency (%)
0121
0.2%
0.00128
 
0.1%
0.00131
 
< 0.1%
0.00151
 
< 0.1%
0.0021103
0.2%
0.00241
 
< 0.1%
0.00262
 
< 0.1%
0.003153
0.1%
0.00341
 
< 0.1%
0.00363
 
< 0.1%
ValueCountFrequency (%)
135
0.1%
0.97011
 
< 0.1%
0.9661
 
< 0.1%
0.95772
 
< 0.1%
0.95621
 
< 0.1%
0.95572
 
< 0.1%
0.93092
 
< 0.1%
0.92061
 
< 0.1%
0.90211
 
< 0.1%
0.9011
 
< 0.1%

BASEMENTAREA_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2816
Distinct (%)13.3%
Missing27641
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean0.09006548358
Minimum0
Maximum1
Zeros2241
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:29.641661image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0467
median0.0781
Q30.1134
95-th percentile0.22619
Maximum1
Range1
Interquartile range (IQR)0.0667

Descriptive statistics

Standard deviation0.08153631904
Coefficient of variation (CV)0.9053004081
Kurtosis24.87244154
Mean0.09006548358
Median Absolute Deviation (MAD)0.0333
Skewness3.450064785
Sum1900.6519
Variance0.006648171322
MonotonicityNot monotonic
2021-06-22T17:47:29.733777image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02241
 
4.6%
0.109159
 
0.1%
0.072747
 
0.1%
0.054545
 
0.1%
0.080445
 
0.1%
0.080342
 
0.1%
0.076442
 
0.1%
0.078541
 
0.1%
0.079541
 
0.1%
0.081841
 
0.1%
Other values (2806)18459
37.9%
(Missing)27641
56.7%
ValueCountFrequency (%)
02241
4.6%
0.000115
 
< 0.1%
0.00023
 
< 0.1%
0.00033
 
< 0.1%
0.00046
 
< 0.1%
0.00058
 
< 0.1%
0.00061
 
< 0.1%
0.00072
 
< 0.1%
0.00087
 
< 0.1%
0.00097
 
< 0.1%
ValueCountFrequency (%)
121
< 0.1%
0.96361
 
< 0.1%
0.93972
 
< 0.1%
0.91691
 
< 0.1%
0.82462
 
< 0.1%
0.81651
 
< 0.1%
0.81521
 
< 0.1%
0.8151
 
< 0.1%
0.78911
 
< 0.1%
0.75471
 
< 0.1%

YEARS_BEGINEXPLUATATION_AVG
Real number (ℝ≥0)

MISSING

Distinct175
Distinct (%)0.7%
Missing22856
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean0.9788281598
Minimum0
Maximum1
Zeros58
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:29.983292image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9692
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.04931798213
Coefficient of variation (CV)0.05038471936
Kurtosis357.3870391
Mean0.9788281598
Median Absolute Deviation (MAD)0.005
Skewness-18.52295271
Sum25339.9034
Variance0.002432263361
MonotonicityNot monotonic
2021-06-22T17:47:30.078605image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9866747
 
1.5%
0.9871701
 
1.4%
0.9846694
 
1.4%
0.9806681
 
1.4%
0.9856677
 
1.4%
0.9861670
 
1.4%
0.9851667
 
1.4%
0.9776666
 
1.4%
0.9801665
 
1.4%
0.9841664
 
1.4%
Other values (165)19056
39.1%
(Missing)22856
46.9%
ValueCountFrequency (%)
058
0.1%
0.19371
 
< 0.1%
0.19821
 
< 0.1%
0.19871
 
< 0.1%
0.47041
 
< 0.1%
0.48631
 
< 0.1%
0.48782
 
< 0.1%
0.48931
 
< 0.1%
0.49031
 
< 0.1%
0.49081
 
< 0.1%
ValueCountFrequency (%)
110
 
< 0.1%
0.999593
0.2%
0.999173
0.4%
0.9985179
0.4%
0.998194
0.4%
0.9975200
0.4%
0.997171
0.4%
0.9965177
0.4%
0.996151
0.3%
0.9955155
0.3%

YEARS_BUILD_AVG
Real number (ℝ≥0)

MISSING

Distinct130
Distinct (%)0.8%
Missing31818
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean0.7511370909
Minimum0
Maximum1
Zeros18
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:30.172793image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5988
Q10.6872
median0.7552
Q30.8164
95-th percentile0.9524
Maximum1
Range1
Interquartile range (IQR)0.1292

Descriptive statistics

Standard deviation0.1131884075
Coefficient of variation (CV)0.1506894132
Kurtosis4.252368758
Mean0.7511370909
Median Absolute Deviation (MAD)0.068
Skewness-0.8841984808
Sum12713.7464
Variance0.01281161559
MonotonicityNot monotonic
2021-06-22T17:47:30.266072image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8232507
 
1.0%
0.8164497
 
1.0%
0.8096457
 
0.9%
0.796452
 
0.9%
0.7348452
 
0.9%
0.7892448
 
0.9%
0.7212448
 
0.9%
0.7416448
 
0.9%
0.7824446
 
0.9%
0.8028445
 
0.9%
Other values (120)12326
 
25.3%
(Missing)31818
65.3%
ValueCountFrequency (%)
018
< 0.1%
0.00041
 
< 0.1%
0.00721
 
< 0.1%
0.05481
 
< 0.1%
0.06842
 
< 0.1%
0.0821
 
< 0.1%
0.09561
 
< 0.1%
0.10241
 
< 0.1%
0.10921
 
< 0.1%
0.1161
 
< 0.1%
ValueCountFrequency (%)
18
 
< 0.1%
0.993273
0.1%
0.9864115
0.2%
0.9796132
0.3%
0.9728136
0.3%
0.966142
0.3%
0.9592134
0.3%
0.9524131
0.3%
0.9456122
0.3%
0.9388105
0.2%

COMMONAREA_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2042
Distinct (%)13.4%
Missing33495
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean0.04762366057
Minimum0
Maximum1
Zeros1373
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:30.360603image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0081
median0.0227
Q30.0539
95-th percentile0.1737
Maximum1
Range1
Interquartile range (IQR)0.0458

Descriptive statistics

Standard deviation0.08286838502
Coefficient of variation (CV)1.740067522
Kurtosis44.84655891
Mean0.04762366057
Median Absolute Deviation (MAD)0.0183
Skewness5.526265954
Sum726.2132
Variance0.006867169236
MonotonicityNot monotonic
2021-06-22T17:47:30.456462image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01373
 
2.8%
0.007989
 
0.2%
0.007884
 
0.2%
0.007773
 
0.1%
0.00869
 
0.1%
0.008664
 
0.1%
0.00756
 
0.1%
0.012556
 
0.1%
0.001455
 
0.1%
0.008852
 
0.1%
Other values (2032)13278
 
27.2%
(Missing)33495
68.7%
ValueCountFrequency (%)
01373
2.8%
0.000113
 
< 0.1%
0.000210
 
< 0.1%
0.00037
 
< 0.1%
0.00048
 
< 0.1%
0.000515
 
< 0.1%
0.000625
 
0.1%
0.000727
 
0.1%
0.000826
 
0.1%
0.000925
 
0.1%
ValueCountFrequency (%)
120
< 0.1%
0.96131
 
< 0.1%
0.95521
 
< 0.1%
0.93391
 
< 0.1%
0.92771
 
< 0.1%
0.88821
 
< 0.1%
0.88762
 
< 0.1%
0.88081
 
< 0.1%
0.87382
 
< 0.1%
0.871
 
< 0.1%

ELEVATORS_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct181
Distinct (%)0.8%
Missing25189
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean0.08516829548
Minimum0
Maximum1
Zeros13467
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:30.549043image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.16
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.1391643374
Coefficient of variation (CV)1.633992281
Kurtosis7.042289048
Mean0.08516829548
Median Absolute Deviation (MAD)0
Skewness2.32026693
Sum2006.1392
Variance0.01936671281
MonotonicityNot monotonic
2021-06-22T17:47:30.643299image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013467
27.6%
0.081682
 
3.5%
0.161586
 
3.3%
0.241067
 
2.2%
0.12922
 
1.9%
0.04759
 
1.6%
0.2698
 
1.4%
0.32475
 
1.0%
0.28398
 
0.8%
0.4314
 
0.6%
Other values (171)2187
 
4.5%
(Missing)25189
51.7%
ValueCountFrequency (%)
013467
27.6%
0.00441
 
< 0.1%
0.00482
 
< 0.1%
0.00647
 
< 0.1%
0.0083
 
< 0.1%
0.017
 
< 0.1%
0.01124
 
< 0.1%
0.013218
 
< 0.1%
0.01441
 
< 0.1%
0.01483
 
< 0.1%
ValueCountFrequency (%)
124
< 0.1%
0.9617
< 0.1%
0.922
 
< 0.1%
0.8816
< 0.1%
0.8411
 
< 0.1%
0.828
0.1%
0.781
 
< 0.1%
0.766
 
< 0.1%
0.741
 
< 0.1%
0.7236
0.1%

ENTRANCES_AVG
Real number (ℝ≥0)

MISSING

Distinct200
Distinct (%)0.8%
Missing23579
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.1517772382
Minimum0
Maximum1
Zeros38
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:30.739596image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.0745
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1324

Descriptive statistics

Standard deviation0.1006688786
Coefficient of variation (CV)0.6632672971
Kurtosis12.50307832
Mean0.1517772382
Median Absolute Deviation (MAD)0.0689
Skewness2.489752827
Sum3819.4742
Variance0.01013422311
MonotonicityNot monotonic
2021-06-22T17:47:30.833555image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.13795683
 
11.7%
0.0693659
 
7.5%
0.20693243
 
6.7%
0.10343132
 
6.4%
0.03452398
 
4.9%
0.17241541
 
3.2%
0.27591318
 
2.7%
0.2414705
 
1.4%
0.3448381
 
0.8%
0.3103356
 
0.7%
Other values (190)2749
 
5.6%
(Missing)23579
48.4%
ValueCountFrequency (%)
038
 
0.1%
0.03452398
4.9%
0.04071
 
< 0.1%
0.04143
 
< 0.1%
0.04316
 
< 0.1%
0.04598
 
< 0.1%
0.04833
 
< 0.1%
0.0517106
 
0.2%
0.05341
 
< 0.1%
0.05527
 
< 0.1%
ValueCountFrequency (%)
129
0.1%
0.96556
 
< 0.1%
0.9316
 
< 0.1%
0.89667
 
< 0.1%
0.86212
 
< 0.1%
0.82767
 
< 0.1%
0.79317
 
< 0.1%
0.758613
< 0.1%
0.724111
 
< 0.1%
0.689719
< 0.1%

FLOORSMAX_AVG
Real number (ℝ≥0)

MISSING

Distinct252
Distinct (%)1.0%
Missing23321
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean0.2337062188
Minimum0
Maximum1
Zeros417
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:30.926665image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.5417
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1473609272
Coefficient of variation (CV)0.6305391787
Kurtosis2.563938166
Mean0.2337062188
Median Absolute Deviation (MAD)0.0834
Skewness1.255861295
Sum5941.5132
Variance0.02171524288
MonotonicityNot monotonic
2021-06-22T17:47:31.018322image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.166710118
20.8%
0.33335480
 
11.2%
0.04172165
 
4.4%
0.3751421
 
2.9%
0.1251052
 
2.2%
0.0833997
 
2.0%
0.4583468
 
1.0%
0417
 
0.9%
0.625320
 
0.7%
0.6667292
 
0.6%
Other values (242)2693
 
5.5%
(Missing)23321
47.8%
ValueCountFrequency (%)
0417
 
0.9%
0.00832
 
< 0.1%
0.011
 
< 0.1%
0.01042
 
< 0.1%
0.01381
 
< 0.1%
0.020820
 
< 0.1%
0.02751
 
< 0.1%
0.03121
 
< 0.1%
0.03632
 
< 0.1%
0.04172165
4.4%
ValueCountFrequency (%)
134
0.1%
0.958315
 
< 0.1%
0.93751
 
< 0.1%
0.93043
 
< 0.1%
0.916712
 
< 0.1%
0.88881
 
< 0.1%
0.87545
0.1%
0.85421
 
< 0.1%
0.83337
 
< 0.1%
0.81251
 
< 0.1%

FLOORSMIN_AVG
Real number (ℝ≥0)

MISSING

Distinct198
Distinct (%)1.2%
Missing32466
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean0.2384230864
Minimum0
Maximum1
Zeros391
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:31.120895image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1042
median0.2083
Q30.375
95-th percentile0.5417
Maximum1
Range1
Interquartile range (IQR)0.2708

Descriptive statistics

Standard deviation0.1649761738
Coefficient of variation (CV)0.6919471447
Kurtosis1.266034775
Mean0.2384230864
Median Absolute Deviation (MAD)0.1666
Skewness0.9320521606
Sum3881.051
Variance0.02721713793
MonotonicityNot monotonic
2021-06-22T17:47:31.222344image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.20835337
 
10.9%
0.3753068
 
6.3%
0.04172852
 
5.9%
0.0833750
 
1.5%
0.4167699
 
1.4%
0.125513
 
1.1%
0.1667498
 
1.0%
0391
 
0.8%
0.5269
 
0.6%
0.7083198
 
0.4%
Other values (188)1703
 
3.5%
(Missing)32466
66.6%
ValueCountFrequency (%)
0391
 
0.8%
0.00671
 
< 0.1%
0.01041
 
< 0.1%
0.01582
 
< 0.1%
0.02086
 
< 0.1%
0.03123
 
< 0.1%
0.03331
 
< 0.1%
0.04172852
5.9%
0.04791
 
< 0.1%
0.05211
 
< 0.1%
ValueCountFrequency (%)
125
0.1%
0.95835
 
< 0.1%
0.916724
< 0.1%
0.88881
 
< 0.1%
0.8755
 
< 0.1%
0.83334
 
< 0.1%
0.81253
 
< 0.1%
0.80541
 
< 0.1%
0.791713
< 0.1%
0.77751
 
< 0.1%

LANDAREA_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2540
Distinct (%)12.4%
Missing28254
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean0.0671920937
Minimum0
Maximum1
Zeros2656
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:31.316113image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.019
median0.0483
Q30.0868
95-th percentile0.1997
Maximum1
Range1
Interquartile range (IQR)0.0678

Descriptive statistics

Standard deviation0.08190897888
Coefficient of variation (CV)1.219027037
Kurtosis32.476082
Mean0.0671920937
Median Absolute Deviation (MAD)0.0325
Skewness4.307576424
Sum1376.766
Variance0.006709080821
MonotonicityNot monotonic
2021-06-22T17:47:31.412329image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02656
 
5.4%
0.014137
 
0.1%
0.015833
 
0.1%
0.011433
 
0.1%
0.039432
 
0.1%
0.056832
 
0.1%
0.022132
 
0.1%
0.031632
 
0.1%
0.045831
 
0.1%
0.094731
 
0.1%
Other values (2530)17541
36.0%
(Missing)28254
58.0%
ValueCountFrequency (%)
02656
5.4%
0.00012
 
< 0.1%
0.00022
 
< 0.1%
0.00043
 
< 0.1%
0.00062
 
< 0.1%
0.00082
 
< 0.1%
0.00093
 
< 0.1%
0.00113
 
< 0.1%
0.00126
 
< 0.1%
0.00131
 
< 0.1%
ValueCountFrequency (%)
120
< 0.1%
0.97771
 
< 0.1%
0.9131
 
< 0.1%
0.89471
 
< 0.1%
0.8943
 
< 0.1%
0.88732
 
< 0.1%
0.86982
 
< 0.1%
0.86382
 
< 0.1%
0.85462
 
< 0.1%
0.83381
 
< 0.1%

LIVINGAPARTMENTS_AVG
Real number (ℝ≥0)

MISSING

Distinct1211
Distinct (%)7.6%
Missing32780
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean0.1058852543
Minimum0
Maximum1
Zeros46
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:31.510427image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0126
Q10.0504
median0.0756
Q30.1269
95-th percentile0.2866
Maximum1
Range1
Interquartile range (IQR)0.0765

Descriptive statistics

Standard deviation0.09828404908
Coefficient of variation (CV)0.9282128065
Kurtosis17.48230892
Mean0.1058852543
Median Absolute Deviation (MAD)0.0328
Skewness3.193563184
Sum1690.3522
Variance0.009659754304
MonotonicityNot monotonic
2021-06-22T17:47:31.606338image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0672718
 
1.5%
0.0504678
 
1.4%
0.0756472
 
1.0%
0.0588393
 
0.8%
0.121324
 
0.7%
0.0841304
 
0.6%
0.0605255
 
0.5%
0.1009247
 
0.5%
0.0908234
 
0.5%
0.0067219
 
0.4%
Other values (1201)12120
 
24.9%
(Missing)32780
67.2%
ValueCountFrequency (%)
046
0.1%
0.000814
 
< 0.1%
0.001727
0.1%
0.002519
 
< 0.1%
0.003459
0.1%
0.00381
 
< 0.1%
0.004221
 
< 0.1%
0.00533
0.1%
0.005917
 
< 0.1%
0.00631
 
< 0.1%
ValueCountFrequency (%)
122
< 0.1%
0.99011
 
< 0.1%
0.96412
 
< 0.1%
0.94981
 
< 0.1%
0.93472
 
< 0.1%
0.91531
 
< 0.1%
0.89521
 
< 0.1%
0.87251
 
< 0.1%
0.84561
 
< 0.1%
0.83881
 
< 0.1%

LIVINGAREA_AVG
Real number (ℝ≥0)

MISSING

Distinct3848
Distinct (%)15.3%
Missing23552
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.1122862575
Minimum0
Maximum1
Zeros46
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:31.698968image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0089
Q10.048575
median0.077
Q30.1376
95-th percentile0.3406
Maximum1
Range1
Interquartile range (IQR)0.089025

Descriptive statistics

Standard deviation0.1148598064
Coefficient of variation (CV)1.022919536
Kurtosis11.89720287
Mean0.1122862575
Median Absolute Deviation (MAD)0.0386
Skewness2.8263867
Sum2828.7154
Variance0.01319277513
MonotonicityNot monotonic
2021-06-22T17:47:31.790692image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
046
 
0.1%
0.070145
 
0.1%
0.0743
 
0.1%
0.05141
 
0.1%
0.063339
 
0.1%
0.05438
 
0.1%
0.070938
 
0.1%
0.062438
 
0.1%
0.008138
 
0.1%
0.050838
 
0.1%
Other values (3838)24788
50.9%
(Missing)23552
48.3%
ValueCountFrequency (%)
046
0.1%
0.00013
 
< 0.1%
0.00021
 
< 0.1%
0.00032
 
< 0.1%
0.00042
 
< 0.1%
0.00051
 
< 0.1%
0.00064
 
< 0.1%
0.00072
 
< 0.1%
0.00085
 
< 0.1%
0.00096
 
< 0.1%
ValueCountFrequency (%)
129
0.1%
0.99631
 
< 0.1%
0.98931
 
< 0.1%
0.98241
 
< 0.1%
0.97561
 
< 0.1%
0.97032
 
< 0.1%
0.95984
 
< 0.1%
0.95232
 
< 0.1%
0.94881
 
< 0.1%
0.94711
 
< 0.1%

NONLIVINGAPARTMENTS_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct241
Distinct (%)1.6%
Missing33347
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.009231480158
Minimum0
Maximum1
Zeros8815
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:31.883923image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0051
95-th percentile0.0309
Maximum1
Range1
Interquartile range (IQR)0.0051

Descriptive statistics

Standard deviation0.04874913363
Coefficient of variation (CV)5.280749435
Kurtosis241.3098294
Mean0.009231480158
Median Absolute Deviation (MAD)0
Skewness14.30325925
Sum142.1371
Variance0.00237647803
MonotonicityNot monotonic
2021-06-22T17:47:31.978066image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08815
 
18.1%
0.00392234
 
4.6%
0.00771020
 
2.1%
0.0116582
 
1.2%
0.0154478
 
1.0%
0.0193261
 
0.5%
0.0232215
 
0.4%
0.0019196
 
0.4%
0.027140
 
0.3%
0.0309134
 
0.3%
Other values (231)1322
 
2.7%
(Missing)33347
68.4%
ValueCountFrequency (%)
08815
18.1%
0.00043
 
< 0.1%
0.00053
 
< 0.1%
0.00065
 
< 0.1%
0.00071
 
< 0.1%
0.000811
 
< 0.1%
0.00134
 
0.1%
0.00121
 
< 0.1%
0.001377
 
0.2%
0.001513
 
< 0.1%
ValueCountFrequency (%)
114
< 0.1%
0.93441
 
< 0.1%
0.88031
 
< 0.1%
0.86871
 
< 0.1%
0.85711
 
< 0.1%
0.82241
 
< 0.1%
0.78761
 
< 0.1%
0.7491
 
< 0.1%
0.74131
 
< 0.1%
0.70661
 
< 0.1%

NONLIVINGAREA_AVG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2026
Distinct (%)8.9%
Missing26084
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean0.02938729038
Minimum0
Maximum1
Zeros9469
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:32.072574image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0038
Q30.029
95-th percentile0.1323
Maximum1
Range1
Interquartile range (IQR)0.029

Descriptive statistics

Standard deviation0.07200747319
Coefficient of variation (CV)2.450293044
Kurtosis63.03345086
Mean0.02938729038
Median Absolute Deviation (MAD)0.0038
Skewness6.517718195
Sum665.916
Variance0.005185076196
MonotonicityNot monotonic
2021-06-22T17:47:32.169783image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09469
 
19.4%
0.0012102
 
0.2%
0.005275
 
0.2%
0.002475
 
0.2%
0.00172
 
0.1%
0.004471
 
0.1%
0.003171
 
0.1%
0.002270
 
0.1%
0.003669
 
0.1%
0.001369
 
0.1%
Other values (2016)12517
25.7%
(Missing)26084
53.5%
ValueCountFrequency (%)
09469
19.4%
0.000125
 
0.1%
0.000220
 
< 0.1%
0.000322
 
< 0.1%
0.000424
 
< 0.1%
0.000533
 
0.1%
0.000650
 
0.1%
0.000741
 
0.1%
0.000827
 
0.1%
0.000947
 
0.1%
ValueCountFrequency (%)
126
0.1%
0.98131
 
< 0.1%
0.92951
 
< 0.1%
0.90991
 
< 0.1%
0.90432
 
< 0.1%
0.88261
 
< 0.1%
0.86511
 
< 0.1%
0.84311
 
< 0.1%
0.83771
 
< 0.1%
0.82941
 
< 0.1%

APARTMENTS_MODE
Real number (ℝ≥0)

MISSING

Distinct636
Distinct (%)2.6%
Missing23887
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean0.1190780062
Minimum0
Maximum1
Zeros148
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:32.267456image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0084
Q10.0588
median0.0851
Q30.1502
95-th percentile0.3372
Maximum1
Range1
Interquartile range (IQR)0.0914

Descriptive statistics

Standard deviation0.113464676
Coefficient of variation (CV)0.9528600587
Kurtosis12.42471668
Mean0.1190780062
Median Absolute Deviation (MAD)0.0431
Skewness2.814084051
Sum2959.922
Variance0.01287423269
MonotonicityNot monotonic
2021-06-22T17:47:32.360514image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0841230
 
2.5%
0.0631212
 
2.5%
0.0945821
 
1.7%
0.0735680
 
1.4%
0.0084549
 
1.1%
0.1513541
 
1.1%
0.0756488
 
1.0%
0.105488
 
1.0%
0.0126480
 
1.0%
0.0168456
 
0.9%
Other values (626)17912
36.7%
(Missing)23887
49.0%
ValueCountFrequency (%)
0148
 
0.3%
0.001142
 
0.1%
0.0021142
 
0.3%
0.003261
 
0.1%
0.0042172
 
0.4%
0.005341
 
0.1%
0.006372
 
0.1%
0.007439
 
0.1%
0.0084549
1.1%
0.009554
 
0.1%
ValueCountFrequency (%)
135
0.1%
0.98841
 
< 0.1%
0.98421
 
< 0.1%
0.97582
 
< 0.1%
0.97372
 
< 0.1%
0.94852
 
< 0.1%
0.9381
 
< 0.1%
0.91911
 
< 0.1%
0.91811
 
< 0.1%
0.9171
 
< 0.1%

BASEMENTAREA_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2835
Distinct (%)13.4%
Missing27641
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean0.08899807136
Minimum0
Maximum1
Zeros2558
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:32.457306image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0425
median0.077
Q30.11355
95-th percentile0.23109
Maximum1
Range1
Interquartile range (IQR)0.07105

Descriptive statistics

Standard deviation0.08265495448
Coefficient of variation (CV)0.9287274793
Kurtosis22.01195099
Mean0.08899807136
Median Absolute Deviation (MAD)0.0355
Skewness3.249779358
Sum1878.1263
Variance0.006831841501
MonotonicityNot monotonic
2021-06-22T17:47:32.758583image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02558
 
5.2%
0.113256
 
0.1%
0.075548
 
0.1%
0.083442
 
0.1%
0.056641
 
0.1%
0.084939
 
0.1%
0.079237
 
0.1%
0.082537
 
0.1%
0.06637
 
0.1%
0.047235
 
0.1%
Other values (2825)18173
37.3%
(Missing)27641
56.7%
ValueCountFrequency (%)
02558
5.2%
0.000115
 
< 0.1%
0.00024
 
< 0.1%
0.00034
 
< 0.1%
0.00046
 
< 0.1%
0.00054
 
< 0.1%
0.00066
 
< 0.1%
0.00072
 
< 0.1%
0.00085
 
< 0.1%
0.00097
 
< 0.1%
ValueCountFrequency (%)
119
< 0.1%
0.95151
 
< 0.1%
0.85572
 
< 0.1%
0.84741
 
< 0.1%
0.84591
 
< 0.1%
0.84571
 
< 0.1%
0.81891
 
< 0.1%
0.78321
 
< 0.1%
0.78011
 
< 0.1%
0.75681
 
< 0.1%

YEARS_BEGINEXPLUATATION_MODE
Real number (ℝ≥0)

MISSING

Distinct160
Distinct (%)0.6%
Missing22856
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean0.9782923478
Minimum0
Maximum1
Zeros76
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:32.856024image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9687
Q10.9762
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0104

Descriptive statistics

Standard deviation0.05378245011
Coefficient of variation (CV)0.05497584666
Kurtosis318.4780709
Mean0.9782923478
Median Absolute Deviation (MAD)0.005
Skewness-17.67068003
Sum25326.0323
Variance0.002892551939
MonotonicityNot monotonic
2021-06-22T17:47:32.951696image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9866729
 
1.5%
0.9871720
 
1.5%
0.9777691
 
1.4%
0.9846687
 
1.4%
0.9861675
 
1.4%
0.9791675
 
1.4%
0.9801669
 
1.4%
0.9856667
 
1.4%
0.9786659
 
1.4%
0.9796644
 
1.3%
Other values (150)19072
39.1%
(Missing)22856
46.9%
ValueCountFrequency (%)
076
0.2%
0.89231
 
< 0.1%
0.89621
 
< 0.1%
0.89971
 
< 0.1%
0.91011
 
< 0.1%
0.91061
 
< 0.1%
0.91211
 
< 0.1%
0.91311
 
< 0.1%
0.91462
 
< 0.1%
0.91661
 
< 0.1%
ValueCountFrequency (%)
111
 
< 0.1%
0.999597
0.2%
0.999172
0.4%
0.9985178
0.4%
0.998184
0.4%
0.9975197
0.4%
0.997184
0.4%
0.9965191
0.4%
0.996156
0.3%
0.9955155
0.3%

YEARS_BUILD_MODE
Real number (ℝ≥0)

MISSING

Distinct132
Distinct (%)0.8%
Missing31818
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean0.7583271476
Minimum0
Maximum1
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:33.047936image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.608
Q10.6929
median0.7583
Q30.8236
95-th percentile0.9543
Maximum1
Range1
Interquartile range (IQR)0.1307

Descriptive statistics

Standard deviation0.1101169917
Coefficient of variation (CV)0.1452104043
Kurtosis4.69009251
Mean0.7583271476
Median Absolute Deviation (MAD)0.0653
Skewness-0.9337065794
Sum12835.4453
Variance0.01212575185
MonotonicityNot monotonic
2021-06-22T17:47:33.142589image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8301518
 
1.1%
0.8236483
 
1.0%
0.7975465
 
1.0%
0.706464
 
1.0%
0.8171463
 
0.9%
0.7321460
 
0.9%
0.719448
 
0.9%
0.7517440
 
0.9%
0.7256437
 
0.9%
0.7452433
 
0.9%
Other values (122)12315
 
25.3%
(Missing)31818
65.3%
ValueCountFrequency (%)
017
< 0.1%
0.01342
 
< 0.1%
0.01991
 
< 0.1%
0.04611
 
< 0.1%
0.06571
 
< 0.1%
0.09181
 
< 0.1%
0.10493
 
< 0.1%
0.11141
 
< 0.1%
0.11791
 
< 0.1%
0.1311
 
< 0.1%
ValueCountFrequency (%)
19
 
< 0.1%
0.993577
0.2%
0.9869112
0.2%
0.9804132
0.3%
0.9739131
0.3%
0.9673134
0.3%
0.9608138
0.3%
0.9543140
0.3%
0.9477115
0.2%
0.9412110
0.2%

COMMONAREA_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2001
Distinct (%)13.1%
Missing33495
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean0.04522303758
Minimum0
Maximum1
Zeros1604
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:33.236397image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0076
median0.0203
Q30.0517
95-th percentile0.16352
Maximum1
Range1
Interquartile range (IQR)0.0441

Descriptive statistics

Standard deviation0.08116860365
Coefficient of variation (CV)1.794850766
Kurtosis48.25878021
Mean0.04522303758
Median Absolute Deviation (MAD)0.0174
Skewness5.739179156
Sum689.6061
Variance0.006588342219
MonotonicityNot monotonic
2021-06-22T17:47:33.331884image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01604
 
3.3%
0.00887
 
0.2%
0.007986
 
0.2%
0.007881
 
0.2%
0.008770
 
0.1%
0.001467
 
0.1%
0.008165
 
0.1%
0.008962
 
0.1%
0.007161
 
0.1%
0.009659
 
0.1%
Other values (1991)13007
 
26.7%
(Missing)33495
68.7%
ValueCountFrequency (%)
01604
3.3%
0.000112
 
< 0.1%
0.000212
 
< 0.1%
0.00038
 
< 0.1%
0.00048
 
< 0.1%
0.000513
 
< 0.1%
0.000626
 
0.1%
0.000724
 
< 0.1%
0.000828
 
0.1%
0.000922
 
< 0.1%
ValueCountFrequency (%)
119
< 0.1%
0.97011
 
< 0.1%
0.96391
 
< 0.1%
0.94241
 
< 0.1%
0.93621
 
< 0.1%
0.89631
 
< 0.1%
0.89572
 
< 0.1%
0.88891
 
< 0.1%
0.88182
 
< 0.1%
0.87791
 
< 0.1%

ELEVATORS_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct26
Distinct (%)0.1%
Missing25189
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean0.08056993844
Minimum0
Maximum1
Zeros14170
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:33.418218image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1208
95-th percentile0.3625
Maximum1
Range1
Interquartile range (IQR)0.1208

Descriptive statistics

Standard deviation0.1375093744
Coefficient of variation (CV)1.706708197
Kurtosis7.712062022
Mean0.08056993844
Median Absolute Deviation (MAD)0
Skewness2.432315256
Sum1897.8249
Variance0.01890882804
MonotonicityNot monotonic
2021-06-22T17:47:33.497942image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
014170
29.1%
0.08061953
 
4.0%
0.16111751
 
3.6%
0.24171118
 
2.3%
0.1208954
 
2.0%
0.0403795
 
1.6%
0.2014670
 
1.4%
0.3222503
 
1.0%
0.282369
 
0.8%
0.4028322
 
0.7%
Other values (16)950
 
1.9%
(Missing)25189
51.7%
ValueCountFrequency (%)
014170
29.1%
0.0403795
 
1.6%
0.08061953
 
4.0%
0.1208954
 
2.0%
0.16111751
 
3.6%
0.2014670
 
1.4%
0.24171118
 
2.3%
0.282369
 
0.8%
0.3222503
 
1.0%
0.3625227
 
0.5%
ValueCountFrequency (%)
124
 
< 0.1%
0.966717
 
< 0.1%
0.92642
 
< 0.1%
0.886215
 
< 0.1%
0.84599
 
< 0.1%
0.805628
 
0.1%
0.76538
 
< 0.1%
0.72535
0.1%
0.684816
 
< 0.1%
0.644577
0.2%

ENTRANCES_MODE
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)0.1%
Missing23579
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.1471606398
Minimum0
Maximum1
Zeros54
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:33.587507image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1017475981
Coefficient of variation (CV)0.6914049727
Kurtosis12.28632865
Mean0.1471606398
Median Absolute Deviation (MAD)0.0689
Skewness2.476923611
Sum3703.2975
Variance0.01035257372
MonotonicityNot monotonic
2021-06-22T17:47:33.677091image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.13796027
 
12.4%
0.0694285
 
8.8%
0.20693372
 
6.9%
0.10343357
 
6.9%
0.03453050
 
6.3%
0.17241496
 
3.1%
0.27591346
 
2.8%
0.2414692
 
1.4%
0.3448374
 
0.8%
0.3103344
 
0.7%
Other values (20)822
 
1.7%
(Missing)23579
48.4%
ValueCountFrequency (%)
054
 
0.1%
0.03453050
6.3%
0.0694285
8.8%
0.10343357
6.9%
0.13796027
12.4%
0.17241496
 
3.1%
0.20693372
6.9%
0.2414692
 
1.4%
0.27591346
 
2.8%
0.3103344
 
0.7%
ValueCountFrequency (%)
129
0.1%
0.96556
 
< 0.1%
0.9316
 
< 0.1%
0.89667
 
< 0.1%
0.86212
 
< 0.1%
0.82767
 
< 0.1%
0.79317
 
< 0.1%
0.758613
< 0.1%
0.724111
 
< 0.1%
0.689719
< 0.1%

FLOORSMAX_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)0.1%
Missing23321
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean0.2293901034
Minimum0
Maximum1
Zeros511
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:33.770169image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1464849258
Coefficient of variation (CV)0.6385843314
Kurtosis2.646959545
Mean0.2293901034
Median Absolute Deviation (MAD)0.0834
Skewness1.269196551
Sum5831.7846
Variance0.0214578335
MonotonicityNot monotonic
2021-06-22T17:47:33.862228image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.166710774
22.1%
0.33335937
 
12.2%
0.04172316
 
4.8%
0.3751474
 
3.0%
0.1251107
 
2.3%
0.08331041
 
2.1%
0.4583513
 
1.1%
0511
 
1.0%
0.625343
 
0.7%
0.6667335
 
0.7%
Other values (15)1072
 
2.2%
(Missing)23321
47.8%
ValueCountFrequency (%)
0511
 
1.0%
0.04172316
 
4.8%
0.08331041
 
2.1%
0.1251107
 
2.3%
0.166710774
22.1%
0.2083233
 
0.5%
0.25102
 
0.2%
0.291773
 
0.1%
0.33335937
12.2%
0.3751474
 
3.0%
ValueCountFrequency (%)
135
 
0.1%
0.958316
 
< 0.1%
0.916714
 
< 0.1%
0.87543
 
0.1%
0.83333
 
< 0.1%
0.791712
 
< 0.1%
0.7520
 
< 0.1%
0.708352
 
0.1%
0.6667335
0.7%
0.625343
0.7%

FLOORSMIN_MODE
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)0.2%
Missing32466
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean0.233853987
Minimum0
Maximum1
Zeros431
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:33.950867image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.1650336653
Coefficient of variation (CV)0.7057124295
Kurtosis1.237876835
Mean0.233853987
Median Absolute Deviation (MAD)0.1666
Skewness0.938847109
Sum3806.6752
Variance0.02723611068
MonotonicityNot monotonic
2021-06-22T17:47:34.031127image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.20835605
 
11.5%
0.3753270
 
6.7%
0.04173078
 
6.3%
0.0833788
 
1.6%
0.4167722
 
1.5%
0.1667510
 
1.0%
0.125504
 
1.0%
0431
 
0.9%
0.5296
 
0.6%
0.7083226
 
0.5%
Other values (15)848
 
1.7%
(Missing)32466
66.6%
ValueCountFrequency (%)
0431
 
0.9%
0.04173078
6.3%
0.0833788
 
1.6%
0.125504
 
1.0%
0.1667510
 
1.0%
0.20835605
11.5%
0.25128
 
0.3%
0.291774
 
0.2%
0.333349
 
0.1%
0.3753270
6.7%
ValueCountFrequency (%)
124
 
< 0.1%
0.95835
 
< 0.1%
0.916722
 
< 0.1%
0.8752
 
< 0.1%
0.83334
 
< 0.1%
0.791717
 
< 0.1%
0.7523
 
< 0.1%
0.7083226
0.5%
0.6667206
0.4%
0.62538
 
0.1%

LANDAREA_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2560
Distinct (%)12.5%
Missing28254
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean0.06591410932
Minimum0
Maximum1
Zeros2971
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:34.126097image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.016525
median0.0462
Q30.0856
95-th percentile0.20181
Maximum1
Range1
Interquartile range (IQR)0.069075

Descriptive statistics

Standard deviation0.08287959726
Coefficient of variation (CV)1.257387805
Kurtosis30.7356939
Mean0.06591410932
Median Absolute Deviation (MAD)0.0326
Skewness4.210701367
Sum1350.5801
Variance0.006869027642
MonotonicityNot monotonic
2021-06-22T17:47:34.225515image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02971
 
6.1%
0.019442
 
0.1%
0.096834
 
0.1%
0.049733
 
0.1%
0.033933
 
0.1%
0.014433
 
0.1%
0.024833
 
0.1%
0.016532
 
0.1%
0.016132
 
0.1%
0.008132
 
0.1%
Other values (2550)17215
35.3%
(Missing)28254
58.0%
ValueCountFrequency (%)
02971
6.1%
0.00013
 
< 0.1%
0.00022
 
< 0.1%
0.00042
 
< 0.1%
0.00063
 
< 0.1%
0.00083
 
< 0.1%
0.00092
 
< 0.1%
0.0013
 
< 0.1%
0.00112
 
< 0.1%
0.00124
 
< 0.1%
ValueCountFrequency (%)
118
< 0.1%
0.93381
 
< 0.1%
0.91521
 
< 0.1%
0.91443
 
< 0.1%
0.90762
 
< 0.1%
0.88962
 
< 0.1%
0.88352
 
< 0.1%
0.87412
 
< 0.1%
0.85281
 
< 0.1%
0.82771
 
< 0.1%

LIVINGAPARTMENTS_MODE
Real number (ℝ≥0)

MISSING

Distinct602
Distinct (%)3.8%
Missing32780
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean0.1108742295
Minimum0
Maximum1
Zeros66
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:34.324794image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.011
Q10.0551
median0.0817
Q30.1322
95-th percentile0.306565
Maximum1
Range1
Interquartile range (IQR)0.0771

Descriptive statistics

Standard deviation0.1039802353
Coefficient of variation (CV)0.9378214913
Kurtosis15.13934602
Mean0.1108742295
Median Absolute Deviation (MAD)0.0358
Skewness3.040079841
Sum1769.9962
Variance0.01081188933
MonotonicityNot monotonic
2021-06-22T17:47:34.433791image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0735811
 
1.7%
0.0551803
 
1.6%
0.0826501
 
1.0%
0.0643417
 
0.9%
0.1322365
 
0.7%
0.0918353
 
0.7%
0.0661335
 
0.7%
0.0992271
 
0.6%
0.1102251
 
0.5%
0.0073245
 
0.5%
Other values (592)11612
 
23.8%
(Missing)32780
67.2%
ValueCountFrequency (%)
066
 
0.1%
0.000921
 
< 0.1%
0.001836
 
0.1%
0.002824
 
< 0.1%
0.003764
 
0.1%
0.004619
 
< 0.1%
0.005533
 
0.1%
0.006420
 
< 0.1%
0.0073245
0.5%
0.008323
 
< 0.1%
ValueCountFrequency (%)
125
0.1%
0.9781
 
< 0.1%
0.95321
 
< 0.1%
0.92381
 
< 0.1%
0.91641
 
< 0.1%
0.91551
 
< 0.1%
0.89721
 
< 0.1%
0.86411
 
< 0.1%
0.85031
 
< 0.1%
0.84851
 
< 0.1%

LIVINGAREA_MODE
Real number (ℝ≥0)

MISSING

Distinct3842
Distinct (%)15.3%
Missing23552
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.1106867815
Minimum0
Maximum1
Zeros69
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:34.529363image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0083
Q10.0456
median0.0751
Q30.1306
95-th percentile0.340745
Maximum1
Range1
Interquartile range (IQR)0.085

Descriptive statistics

Standard deviation0.1166987866
Coefficient of variation (CV)1.054315475
Kurtosis12.18907658
Mean0.1106867815
Median Absolute Deviation (MAD)0.0395
Skewness2.894144848
Sum2788.4214
Variance0.0136186068
MonotonicityNot monotonic
2021-06-22T17:47:34.627866image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
069
 
0.1%
0.07345
 
0.1%
0.05345
 
0.1%
0.053144
 
0.1%
0.010241
 
0.1%
0.052141
 
0.1%
0.055639
 
0.1%
0.052939
 
0.1%
0.056138
 
0.1%
0.056338
 
0.1%
Other values (3832)24753
50.8%
(Missing)23552
48.3%
ValueCountFrequency (%)
069
0.1%
0.00015
 
< 0.1%
0.00021
 
< 0.1%
0.00033
 
< 0.1%
0.00042
 
< 0.1%
0.00051
 
< 0.1%
0.00063
 
< 0.1%
0.00076
 
< 0.1%
0.00087
 
< 0.1%
0.00095
 
< 0.1%
ValueCountFrequency (%)
136
0.1%
0.99222
 
< 0.1%
0.98861
 
< 0.1%
0.98681
 
< 0.1%
0.98451
 
< 0.1%
0.97561
 
< 0.1%
0.96671
 
< 0.1%
0.94123
 
< 0.1%
0.9332
 
< 0.1%
0.93151
 
< 0.1%

NONLIVINGAPARTMENTS_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct106
Distinct (%)0.7%
Missing33347
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.008357543677
Minimum0
Maximum1
Zeros9638
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:34.722037image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0272
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.0466572476
Coefficient of variation (CV)5.582650765
Kurtosis266.6176102
Mean0.008357543677
Median Absolute Deviation (MAD)0
Skewness15.05885144
Sum128.6811
Variance0.002176898754
MonotonicityNot monotonic
2021-06-22T17:47:34.818928image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09638
 
19.8%
0.00392334
 
4.8%
0.00781039
 
2.1%
0.0117572
 
1.2%
0.0156465
 
1.0%
0.0195260
 
0.5%
0.0233215
 
0.4%
0.0311137
 
0.3%
0.0272134
 
0.3%
0.03592
 
0.2%
Other values (96)511
 
1.0%
(Missing)33347
68.4%
ValueCountFrequency (%)
09638
19.8%
0.00392334
 
4.8%
0.00781039
 
2.1%
0.0117572
 
1.2%
0.0156465
 
1.0%
0.0195260
 
0.5%
0.0233215
 
0.4%
0.0272134
 
0.3%
0.0311137
 
0.3%
0.03592
 
0.2%
ValueCountFrequency (%)
112
< 0.1%
0.94161
 
< 0.1%
0.93391
 
< 0.1%
0.88721
 
< 0.1%
0.87551
 
< 0.1%
0.86381
 
< 0.1%
0.82881
 
< 0.1%
0.79381
 
< 0.1%
0.75491
 
< 0.1%
0.74711
 
< 0.1%

NONLIVINGAREA_MODE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2025
Distinct (%)8.9%
Missing26084
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean0.02816147838
Minimum0
Maximum1
Zeros10922
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:34.915255image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0012
Q30.0245
95-th percentile0.13421
Maximum1
Range1
Interquartile range (IQR)0.0245

Descriptive statistics

Standard deviation0.07350403225
Coefficient of variation (CV)2.61009139
Kurtosis61.46885203
Mean0.02816147838
Median Absolute Deviation (MAD)0.0012
Skewness6.499670899
Sum638.1391
Variance0.005402842757
MonotonicityNot monotonic
2021-06-22T17:47:35.012191image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
010922
22.4%
0.001199
 
0.2%
0.001373
 
0.1%
0.001270
 
0.1%
0.002669
 
0.1%
0.003367
 
0.1%
0.004764
 
0.1%
0.003863
 
0.1%
0.004663
 
0.1%
0.005563
 
0.1%
Other values (2015)11107
22.8%
(Missing)26084
53.5%
ValueCountFrequency (%)
010922
22.4%
0.000120
 
< 0.1%
0.000219
 
< 0.1%
0.00036
 
< 0.1%
0.000414
 
< 0.1%
0.000524
 
< 0.1%
0.000642
 
0.1%
0.000732
 
0.1%
0.000840
 
0.1%
0.000924
 
< 0.1%
ValueCountFrequency (%)
126
0.1%
0.9841
 
< 0.1%
0.96331
 
< 0.1%
0.93431
 
< 0.1%
0.91591
 
< 0.1%
0.89251
 
< 0.1%
0.88681
 
< 0.1%
0.8781
 
< 0.1%
0.84551
 
< 0.1%
0.83632
 
< 0.1%

APARTMENTS_MEDI
Real number (ℝ≥0)

MISSING

Distinct918
Distinct (%)3.7%
Missing23887
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean0.1228086776
Minimum0
Maximum1
Zeros123
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:35.109929image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0115
Q10.0625
median0.0926
Q30.1499
95-th percentile0.3373
Maximum1
Range1
Interquartile range (IQR)0.0874

Descriptive statistics

Standard deviation0.1141841663
Coefficient of variation (CV)0.9297727858
Kurtosis11.8138335
Mean0.1228086776
Median Absolute Deviation (MAD)0.0426
Skewness2.737732781
Sum3052.6553
Variance0.01303802384
MonotonicityNot monotonic
2021-06-22T17:47:35.205668image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08331169
 
2.4%
0.06251090
 
2.2%
0.0937811
 
1.7%
0.0729670
 
1.4%
0.1499523
 
1.1%
0.1041493
 
1.0%
0.0083487
 
1.0%
0.0125444
 
0.9%
0.0167430
 
0.9%
0.0749402
 
0.8%
Other values (908)18338
37.6%
(Missing)23887
49.0%
ValueCountFrequency (%)
0123
0.3%
0.00129
 
0.1%
0.00162
 
< 0.1%
0.0021105
0.2%
0.00261
 
< 0.1%
0.003154
 
0.1%
0.00363
 
< 0.1%
0.0042146
0.3%
0.00474
 
< 0.1%
0.005229
 
0.1%
ValueCountFrequency (%)
135
0.1%
0.97951
 
< 0.1%
0.97531
 
< 0.1%
0.9672
 
< 0.1%
0.96541
 
< 0.1%
0.96492
 
< 0.1%
0.93992
 
< 0.1%
0.92951
 
< 0.1%
0.91081
 
< 0.1%
0.90981
 
< 0.1%

BASEMENTAREA_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2805
Distinct (%)13.3%
Missing27641
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean0.08952910013
Minimum0
Maximum1
Zeros2279
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:35.301985image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04615
median0.0778
Q30.113
95-th percentile0.22548
Maximum1
Range1
Interquartile range (IQR)0.06685

Descriptive statistics

Standard deviation0.08102219026
Coefficient of variation (CV)0.9049816221
Kurtosis24.48448654
Mean0.08952910013
Median Absolute Deviation (MAD)0.0333
Skewness3.410186032
Sum1889.3326
Variance0.006564595314
MonotonicityNot monotonic
2021-06-22T17:47:35.403015image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02279
 
4.7%
0.109160
 
0.1%
0.054547
 
0.1%
0.072747
 
0.1%
0.081846
 
0.1%
0.065544
 
0.1%
0.080444
 
0.1%
0.080342
 
0.1%
0.079541
 
0.1%
0.063540
 
0.1%
Other values (2795)18413
37.8%
(Missing)27641
56.7%
ValueCountFrequency (%)
02279
4.7%
0.000116
 
< 0.1%
0.00023
 
< 0.1%
0.00033
 
< 0.1%
0.00047
 
< 0.1%
0.00058
 
< 0.1%
0.00061
 
< 0.1%
0.00072
 
< 0.1%
0.00087
 
< 0.1%
0.00097
 
< 0.1%
ValueCountFrequency (%)
121
< 0.1%
0.96361
 
< 0.1%
0.91691
 
< 0.1%
0.82462
 
< 0.1%
0.81651
 
< 0.1%
0.81521
 
< 0.1%
0.8151
 
< 0.1%
0.78911
 
< 0.1%
0.75471
 
< 0.1%
0.75171
 
< 0.1%

YEARS_BEGINEXPLUATATION_MEDI
Real number (ℝ≥0)

MISSING

Distinct169
Distinct (%)0.7%
Missing22856
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean0.9788220372
Minimum0
Maximum1
Zeros61
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:35.498965image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9692
Q10.9767
median0.9816
Q30.9866
95-th percentile0.996
Maximum1
Range1
Interquartile range (IQR)0.0099

Descriptive statistics

Standard deviation0.04966286479
Coefficient of variation (CV)0.05073737911
Kurtosis357.7420664
Mean0.9788220372
Median Absolute Deviation (MAD)0.005
Skewness-18.55853482
Sum25339.7449
Variance0.002466400139
MonotonicityNot monotonic
2021-06-22T17:47:35.595521image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9866733
 
1.5%
0.9871714
 
1.5%
0.9846696
 
1.4%
0.9856685
 
1.4%
0.9776675
 
1.4%
0.9791671
 
1.4%
0.9861671
 
1.4%
0.9851661
 
1.4%
0.9806660
 
1.4%
0.9801658
 
1.3%
Other values (159)19064
39.1%
(Missing)22856
46.9%
ValueCountFrequency (%)
061
0.1%
0.47041
 
< 0.1%
0.48631
 
< 0.1%
0.48782
 
< 0.1%
0.48931
 
< 0.1%
0.49031
 
< 0.1%
0.49081
 
< 0.1%
0.49131
 
< 0.1%
0.49181
 
< 0.1%
0.49332
 
< 0.1%
ValueCountFrequency (%)
111
 
< 0.1%
0.999598
0.2%
0.999176
0.4%
0.9985183
0.4%
0.998191
0.4%
0.9975204
0.4%
0.997181
0.4%
0.9965188
0.4%
0.996152
0.3%
0.9955161
0.3%

YEARS_BUILD_MEDI
Real number (ℝ≥0)

MISSING

Distinct129
Distinct (%)0.8%
Missing31818
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean0.7543436193
Minimum0
Maximum1
Zeros19
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:35.690706image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6042
Q10.6914
median0.7585
Q30.8189
95-th percentile0.953
Maximum1
Range1
Interquartile range (IQR)0.1275

Descriptive statistics

Standard deviation0.1119976763
Coefficient of variation (CV)0.14847037
Kurtosis4.358014488
Mean0.7543436193
Median Absolute Deviation (MAD)0.0671
Skewness-0.8919269918
Sum12768.0201
Variance0.01254347949
MonotonicityNot monotonic
2021-06-22T17:47:35.807003image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8256516
 
1.1%
0.8189487
 
1.0%
0.8121465
 
1.0%
0.7249459
 
0.9%
0.792456
 
0.9%
0.7451445
 
0.9%
0.6981443
 
0.9%
0.7987443
 
0.9%
0.7786442
 
0.9%
0.8054442
 
0.9%
Other values (119)12328
 
25.3%
(Missing)31818
65.3%
ValueCountFrequency (%)
019
< 0.1%
0.02051
 
< 0.1%
0.06741
 
< 0.1%
0.08092
 
< 0.1%
0.09431
 
< 0.1%
0.10771
 
< 0.1%
0.11441
 
< 0.1%
0.12111
 
< 0.1%
0.12781
 
< 0.1%
0.15471
 
< 0.1%
ValueCountFrequency (%)
19
 
< 0.1%
0.993376
0.2%
0.9866114
0.2%
0.9799136
0.3%
0.9732135
0.3%
0.9665144
0.3%
0.9597136
0.3%
0.953138
0.3%
0.9463116
0.2%
0.9396107
0.2%

COMMONAREA_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2034
Distinct (%)13.3%
Missing33495
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean0.04742038166
Minimum0
Maximum1
Zeros1425
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:35.928127image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.008
median0.0223
Q30.0538
95-th percentile0.17416
Maximum1
Range1
Interquartile range (IQR)0.0458

Descriptive statistics

Standard deviation0.08289220472
Coefficient of variation (CV)1.74802905
Kurtosis44.56578461
Mean0.04742038166
Median Absolute Deviation (MAD)0.0181
Skewness5.516534087
Sum723.1134
Variance0.006871117604
MonotonicityNot monotonic
2021-06-22T17:47:36.045225image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01425
 
2.9%
0.007994
 
0.2%
0.00885
 
0.2%
0.007870
 
0.1%
0.001459
 
0.1%
0.008758
 
0.1%
0.007755
 
0.1%
0.008654
 
0.1%
0.008153
 
0.1%
0.012652
 
0.1%
Other values (2024)13244
 
27.2%
(Missing)33495
68.7%
ValueCountFrequency (%)
01425
2.9%
0.000113
 
< 0.1%
0.000212
 
< 0.1%
0.00037
 
< 0.1%
0.00049
 
< 0.1%
0.000514
 
< 0.1%
0.000625
 
0.1%
0.000724
 
< 0.1%
0.000826
 
0.1%
0.000924
 
< 0.1%
ValueCountFrequency (%)
119
< 0.1%
0.96741
 
< 0.1%
0.96131
 
< 0.1%
0.93981
 
< 0.1%
0.93361
 
< 0.1%
0.89381
 
< 0.1%
0.89322
 
< 0.1%
0.88641
 
< 0.1%
0.87942
 
< 0.1%
0.87551
 
< 0.1%

ELEVATORS_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)0.2%
Missing25189
Missing (%)51.7%
Infinite0
Infinite (%)0.0%
Mean0.08412821057
Minimum0
Maximum1
Zeros13738
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:36.158269image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.16
95-th percentile0.36
Maximum1
Range1
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.139014376
Coefficient of variation (CV)1.652410945
Kurtosis7.132539946
Mean0.08412821057
Median Absolute Deviation (MAD)0
Skewness2.338352979
Sum1981.64
Variance0.01932499672
MonotonicityNot monotonic
2021-06-22T17:47:36.620346image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
013738
28.2%
0.081844
 
3.8%
0.161686
 
3.5%
0.241127
 
2.3%
0.12978
 
2.0%
0.04782
 
1.6%
0.2718
 
1.5%
0.32513
 
1.1%
0.28398
 
0.8%
0.4334
 
0.7%
Other values (33)1437
 
2.9%
(Missing)25189
51.7%
ValueCountFrequency (%)
013738
28.2%
0.0265
 
0.1%
0.04782
 
1.6%
0.0669
 
0.1%
0.081844
 
3.8%
0.184
 
0.2%
0.12978
 
2.0%
0.1464
 
0.1%
0.161686
 
3.5%
0.1861
 
0.1%
ValueCountFrequency (%)
124
< 0.1%
0.9617
< 0.1%
0.922
 
< 0.1%
0.8816
< 0.1%
0.8411
 
< 0.1%
0.828
0.1%
0.781
 
< 0.1%
0.766
 
< 0.1%
0.741
 
< 0.1%
0.7236
0.1%

ENTRANCES_MEDI
Real number (ℝ≥0)

MISSING

Distinct43
Distinct (%)0.2%
Missing23579
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.1512001629
Minimum0
Maximum1
Zeros38
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:36.724333image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0345
Q10.069
median0.1379
Q30.2069
95-th percentile0.3103
Maximum1
Range1
Interquartile range (IQR)0.1379

Descriptive statistics

Standard deviation0.1009306766
Coefficient of variation (CV)0.6675302105
Kurtosis12.41190863
Mean0.1512001629
Median Absolute Deviation (MAD)0.0689
Skewness2.480982318
Sum3804.9521
Variance0.01018700147
MonotonicityNot monotonic
2021-06-22T17:47:36.822979image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.13795959
 
12.2%
0.0693869
 
7.9%
0.20693372
 
6.9%
0.10343312
 
6.8%
0.03452515
 
5.2%
0.17241616
 
3.3%
0.27591345
 
2.8%
0.2414733
 
1.5%
0.3448381
 
0.8%
0.3103362
 
0.7%
Other values (33)1701
 
3.5%
(Missing)23579
48.4%
ValueCountFrequency (%)
038
 
0.1%
0.03452515
5.2%
0.0517104
 
0.2%
0.0693869
7.9%
0.0862208
 
0.4%
0.10343312
6.8%
0.1207226
 
0.5%
0.13795959
12.2%
0.1552148
 
0.3%
0.17241616
 
3.3%
ValueCountFrequency (%)
129
0.1%
0.96556
 
< 0.1%
0.9316
 
< 0.1%
0.89667
 
< 0.1%
0.86212
 
< 0.1%
0.82767
 
< 0.1%
0.79317
 
< 0.1%
0.758613
< 0.1%
0.724111
 
< 0.1%
0.689719
< 0.1%

FLOORSMAX_MEDI
Real number (ℝ≥0)

MISSING

Distinct47
Distinct (%)0.2%
Missing23321
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean0.2331536404
Minimum0
Maximum1
Zeros425
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:36.929050image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.1667
median0.1667
Q30.3333
95-th percentile0.5417
Maximum1
Range1
Interquartile range (IQR)0.1666

Descriptive statistics

Standard deviation0.1476290127
Coefficient of variation (CV)0.6331833911
Kurtosis2.5875297
Mean0.2331536404
Median Absolute Deviation (MAD)0.0834
Skewness1.265356351
Sum5927.465
Variance0.02179432538
MonotonicityNot monotonic
2021-06-22T17:47:37.037442image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.166710443
21.4%
0.33335753
 
11.8%
0.04172203
 
4.5%
0.3751463
 
3.0%
0.1251065
 
2.2%
0.08331017
 
2.1%
0.4583502
 
1.0%
0425
 
0.9%
0.625336
 
0.7%
0.6667329
 
0.7%
Other values (37)1887
 
3.9%
(Missing)23321
47.8%
ValueCountFrequency (%)
0425
 
0.9%
0.020820
 
< 0.1%
0.04172203
 
4.5%
0.062530
 
0.1%
0.08331017
 
2.1%
0.104262
 
0.1%
0.1251065
 
2.2%
0.145858
 
0.1%
0.166710443
21.4%
0.187550
 
0.1%
ValueCountFrequency (%)
136
0.1%
0.958317
 
< 0.1%
0.93751
 
< 0.1%
0.916713
 
< 0.1%
0.87544
0.1%
0.85421
 
< 0.1%
0.83336
 
< 0.1%
0.81251
 
< 0.1%
0.791714
 
< 0.1%
0.77084
 
< 0.1%

FLOORSMIN_MEDI
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)0.3%
Missing32466
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean0.2378458902
Minimum0
Maximum1
Zeros397
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:37.138379image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0417
Q10.0833
median0.2083
Q30.375
95-th percentile0.5417
Maximum1
Range1
Interquartile range (IQR)0.2917

Descriptive statistics

Standard deviation0.1652405975
Coefficient of variation (CV)0.6947380817
Kurtosis1.227629807
Mean0.2378458902
Median Absolute Deviation (MAD)0.1666
Skewness0.9281840223
Sum3871.6554
Variance0.02730445505
MonotonicityNot monotonic
2021-06-22T17:47:37.238260image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.20835500
 
11.3%
0.3753205
 
6.6%
0.04172920
 
6.0%
0.0833755
 
1.5%
0.4167722
 
1.5%
0.125527
 
1.1%
0.1667506
 
1.0%
0397
 
0.8%
0.5288
 
0.6%
0.7083219
 
0.4%
Other values (34)1239
 
2.5%
(Missing)32466
66.6%
ValueCountFrequency (%)
0397
 
0.8%
0.02086
 
< 0.1%
0.04172920
6.0%
0.06257
 
< 0.1%
0.0833755
 
1.5%
0.104224
 
< 0.1%
0.125527
 
1.1%
0.145827
 
0.1%
0.1667506
 
1.0%
0.187518
 
< 0.1%
ValueCountFrequency (%)
124
 
< 0.1%
0.95835
 
< 0.1%
0.916723
 
< 0.1%
0.8755
 
< 0.1%
0.83335
 
< 0.1%
0.81253
 
< 0.1%
0.791714
 
< 0.1%
0.7528
 
0.1%
0.72921
 
< 0.1%
0.7083219
0.4%

LANDAREA_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2562
Distinct (%)12.5%
Missing28254
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean0.06806901903
Minimum0
Maximum1
Zeros2708
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:37.345149image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.019
median0.0488
Q30.088
95-th percentile0.20331
Maximum1
Range1
Interquartile range (IQR)0.069

Descriptive statistics

Standard deviation0.08286871427
Coefficient of variation (CV)1.217421897
Kurtosis30.80634914
Mean0.06806901903
Median Absolute Deviation (MAD)0.033
Skewness4.20144425
Sum1394.7342
Variance0.006867223805
MonotonicityNot monotonic
2021-06-22T17:47:37.474510image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02708
 
5.6%
0.032136
 
0.1%
0.019334
 
0.1%
0.011633
 
0.1%
0.057832
 
0.1%
0.014332
 
0.1%
0.016131
 
0.1%
0.033731
 
0.1%
0.040130
 
0.1%
0.048230
 
0.1%
Other values (2552)17493
35.9%
(Missing)28254
58.0%
ValueCountFrequency (%)
02708
5.6%
0.00012
 
< 0.1%
0.00022
 
< 0.1%
0.00031
 
< 0.1%
0.00043
 
< 0.1%
0.00062
 
< 0.1%
0.00082
 
< 0.1%
0.00092
 
< 0.1%
0.0012
 
< 0.1%
0.00112
 
< 0.1%
ValueCountFrequency (%)
118
< 0.1%
0.99471
 
< 0.1%
0.92891
 
< 0.1%
0.91031
 
< 0.1%
0.90953
 
< 0.1%
0.90282
 
< 0.1%
0.88492
 
< 0.1%
0.87892
 
< 0.1%
0.86952
 
< 0.1%
0.84831
 
< 0.1%

LIVINGAPARTMENTS_MEDI
Real number (ℝ≥0)

MISSING

Distinct843
Distinct (%)5.3%
Missing32780
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean0.1070632924
Minimum0
Maximum1
Zeros47
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:37.581688image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.012
Q10.0513
median0.077
Q30.1266
95-th percentile0.2916
Maximum1
Range1
Interquartile range (IQR)0.0753

Descriptive statistics

Standard deviation0.09973684264
Coefficient of variation (CV)0.931568985
Kurtosis17.03044478
Mean0.1070632924
Median Absolute Deviation (MAD)0.0325
Skewness3.17142934
Sum1709.1584
Variance0.00994743778
MonotonicityNot monotonic
2021-06-22T17:47:37.687525image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0684769
 
1.6%
0.0513725
 
1.5%
0.077504
 
1.0%
0.0599410
 
0.8%
0.0855348
 
0.7%
0.1231342
 
0.7%
0.0616283
 
0.6%
0.1026257
 
0.5%
0.0923252
 
0.5%
0.0068221
 
0.5%
Other values (833)11853
 
24.3%
(Missing)32780
67.2%
ValueCountFrequency (%)
047
0.1%
0.000914
 
< 0.1%
0.001727
0.1%
0.002619
 
< 0.1%
0.003459
0.1%
0.00381
 
< 0.1%
0.004321
 
< 0.1%
0.005132
0.1%
0.00618
 
< 0.1%
0.00641
 
< 0.1%
ValueCountFrequency (%)
123
< 0.1%
0.98082
 
< 0.1%
0.96621
 
< 0.1%
0.95092
 
< 0.1%
0.93121
 
< 0.1%
0.91071
 
< 0.1%
0.88761
 
< 0.1%
0.86021
 
< 0.1%
0.85341
 
< 0.1%
0.85251
 
< 0.1%

LIVINGAREA_MEDI
Real number (ℝ≥0)

MISSING

Distinct3885
Distinct (%)15.4%
Missing23552
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.1133677318
Minimum0
Maximum1
Zeros49
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:37.797011image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0089
Q10.049
median0.0776
Q30.137425
95-th percentile0.345535
Maximum1
Range1
Interquartile range (IQR)0.088425

Descriptive statistics

Standard deviation0.116502878
Coefficient of variation (CV)1.02765466
Kurtosis11.77154937
Mean0.1133677318
Median Absolute Deviation (MAD)0.039
Skewness2.828403346
Sum2855.9599
Variance0.01357292057
MonotonicityNot monotonic
2021-06-22T17:47:37.908107image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
049
 
0.1%
0.051944
 
0.1%
0.054844
 
0.1%
0.071342
 
0.1%
0.051839
 
0.1%
0.052539
 
0.1%
0.064539
 
0.1%
0.064439
 
0.1%
0.051538
 
0.1%
0.053238
 
0.1%
Other values (3875)24781
50.8%
(Missing)23552
48.3%
ValueCountFrequency (%)
049
0.1%
0.00013
 
< 0.1%
0.00021
 
< 0.1%
0.00032
 
< 0.1%
0.00042
 
< 0.1%
0.00051
 
< 0.1%
0.00063
 
< 0.1%
0.00073
 
< 0.1%
0.00085
 
< 0.1%
0.00095
 
< 0.1%
ValueCountFrequency (%)
131
0.1%
0.99311
 
< 0.1%
0.98772
 
< 0.1%
0.9774
 
< 0.1%
0.96942
 
< 0.1%
0.96591
 
< 0.1%
0.96411
 
< 0.1%
0.96191
 
< 0.1%
0.95321
 
< 0.1%
0.94451
 
< 0.1%

NONLIVINGAPARTMENTS_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct134
Distinct (%)0.9%
Missing33347
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.008978853023
Minimum0
Maximum1
Zeros9117
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:38.008203image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0039
95-th percentile0.0311
Maximum1
Range1
Interquartile range (IQR)0.0039

Descriptive statistics

Standard deviation0.04814847274
Coefficient of variation (CV)5.362430214
Kurtosis244.4773698
Mean0.008978853023
Median Absolute Deviation (MAD)0
Skewness14.40374565
Sum138.2474
Variance0.002318275427
MonotonicityNot monotonic
2021-06-22T17:47:38.115914image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09117
 
18.7%
0.00392341
 
4.8%
0.00781054
 
2.2%
0.0116592
 
1.2%
0.0155483
 
1.0%
0.0194263
 
0.5%
0.0233217
 
0.4%
0.0019208
 
0.4%
0.0272141
 
0.3%
0.0311133
 
0.3%
Other values (124)848
 
1.7%
(Missing)33347
68.4%
ValueCountFrequency (%)
09117
18.7%
0.0019208
 
0.4%
0.00392341
 
4.8%
0.005892
 
0.2%
0.00781054
 
2.2%
0.009733
 
0.1%
0.0116592
 
1.2%
0.013631
 
0.1%
0.0155483
 
1.0%
0.017514
 
< 0.1%
ValueCountFrequency (%)
113
< 0.1%
0.93941
 
< 0.1%
0.88511
 
< 0.1%
0.87341
 
< 0.1%
0.86181
 
< 0.1%
0.82681
 
< 0.1%
0.79191
 
< 0.1%
0.75311
 
< 0.1%
0.74531
 
< 0.1%
0.71041
 
< 0.1%

NONLIVINGAREA_MEDI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2030
Distinct (%)9.0%
Missing26084
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean0.02929628861
Minimum0
Maximum1
Zeros9867
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:38.225986image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0031
Q30.028025
95-th percentile0.1343
Maximum1
Range1
Interquartile range (IQR)0.028025

Descriptive statistics

Standard deviation0.07299797314
Coefficient of variation (CV)2.491714022
Kurtosis61.71166145
Mean0.02929628861
Median Absolute Deviation (MAD)0.0031
Skewness6.46961372
Sum663.8539
Variance0.005328704083
MonotonicityNot monotonic
2021-06-22T17:47:38.348388image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09867
 
20.2%
0.001297
 
0.2%
0.002382
 
0.2%
0.002577
 
0.2%
0.003775
 
0.2%
0.001373
 
0.1%
0.003172
 
0.1%
0.00170
 
0.1%
0.002269
 
0.1%
0.004368
 
0.1%
Other values (2020)12110
24.8%
(Missing)26084
53.5%
ValueCountFrequency (%)
09867
20.2%
0.000123
 
< 0.1%
0.000212
 
< 0.1%
0.000313
 
< 0.1%
0.000424
 
< 0.1%
0.000528
 
0.1%
0.000632
 
0.1%
0.000753
 
0.1%
0.000822
 
< 0.1%
0.000939
 
0.1%
ValueCountFrequency (%)
127
0.1%
0.9491
 
< 0.1%
0.9291
 
< 0.1%
0.92332
 
< 0.1%
0.90111
 
< 0.1%
0.88331
 
< 0.1%
0.86071
 
< 0.1%
0.85521
 
< 0.1%
0.84681
 
< 0.1%
0.81541
 
< 0.1%

FONDKAPREMONT_MODE
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing32797
Missing (%)67.3%
Memory size2.1 MiB
reg oper account
12124 
reg oper spec account
1990 
org spec account
 
920
not specified
 
913

Characters and Unicode

Total characters262363
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowreg oper account
2nd rownot specified
3rd rowreg oper account
4th rowreg oper account
5th rowreg oper account
ValueCountFrequency (%)
reg oper account12124
 
24.9%
reg oper spec account1990
 
4.1%
org spec account920
 
1.9%
not specified913
 
1.9%
(Missing)32797
67.3%
ValueCountFrequency (%)
account15034
30.7%
reg14114
28.9%
oper14114
28.9%
spec2910
 
5.9%
org920
 
1.9%
specified913
 
1.9%
not913
 
1.9%

Most occurring characters

ValueCountFrequency (%)
c33891
12.9%
32971
12.6%
e32964
12.6%
o30981
11.8%
r29148
11.1%
p17937
6.8%
n15947
6.1%
t15947
6.1%
g15034
5.7%
a15034
5.7%
Other values (5)22509
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter229392
87.4%
Space Separator32971
 
12.6%

Most frequent character per category

ValueCountFrequency (%)
c33891
14.8%
e32964
14.4%
o30981
13.5%
r29148
12.7%
p17937
7.8%
n15947
7.0%
t15947
7.0%
g15034
6.6%
a15034
6.6%
u15034
6.6%
Other values (4)7475
 
3.3%
ValueCountFrequency (%)
32971
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin229392
87.4%
Common32971
 
12.6%

Most frequent character per script

ValueCountFrequency (%)
c33891
14.8%
e32964
14.4%
o30981
13.5%
r29148
12.7%
p17937
7.8%
n15947
7.0%
t15947
7.0%
g15034
6.6%
a15034
6.6%
u15034
6.6%
Other values (4)7475
 
3.3%
ValueCountFrequency (%)
32971
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII262363
100.0%

Most frequent character per block

ValueCountFrequency (%)
c33891
12.9%
32971
12.6%
e32964
12.6%
o30981
11.8%
r29148
11.1%
p17937
6.8%
n15947
6.1%
t15947
6.1%
g15034
5.7%
a15034
5.7%
Other values (5)22509
8.6%

HOUSETYPE_MODE
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing23619
Missing (%)48.5%
Memory size2.4 MiB
block of flats
24659 
specific housing
 
262
terraced house
 
204

Characters and Unicode

Total characters352274
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowblock of flats
2nd rowblock of flats
3rd rowblock of flats
4th rowblock of flats
5th rowblock of flats
ValueCountFrequency (%)
block of flats24659
50.6%
specific housing262
 
0.5%
terraced house204
 
0.4%
(Missing)23619
48.5%
ValueCountFrequency (%)
of24659
32.9%
flats24659
32.9%
block24659
32.9%
specific262
 
0.3%
housing262
 
0.3%
house204
 
0.3%
terraced204
 
0.3%

Most occurring characters

ValueCountFrequency (%)
o49784
14.1%
49784
14.1%
f49580
14.1%
l49318
14.0%
c25387
7.2%
s25387
7.2%
a24863
7.1%
t24863
7.1%
b24659
7.0%
k24659
7.0%
Other values (9)3990
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter302490
85.9%
Space Separator49784
 
14.1%

Most frequent character per category

ValueCountFrequency (%)
o49784
16.5%
f49580
16.4%
l49318
16.3%
c25387
8.4%
s25387
8.4%
a24863
8.2%
t24863
8.2%
b24659
8.2%
k24659
8.2%
e874
 
0.3%
Other values (8)3116
 
1.0%
ValueCountFrequency (%)
49784
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin302490
85.9%
Common49784
 
14.1%

Most frequent character per script

ValueCountFrequency (%)
o49784
16.5%
f49580
16.4%
l49318
16.3%
c25387
8.4%
s25387
8.4%
a24863
8.2%
t24863
8.2%
b24659
8.2%
k24659
8.2%
e874
 
0.3%
Other values (8)3116
 
1.0%
ValueCountFrequency (%)
49784
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII352274
100.0%

Most frequent character per block

ValueCountFrequency (%)
o49784
14.1%
49784
14.1%
f49580
14.1%
l49318
14.0%
c25387
7.2%
s25387
7.2%
a24863
7.1%
t24863
7.1%
b24659
7.0%
k24659
7.0%
Other values (9)3990
 
1.1%

TOTALAREA_MODE
Real number (ℝ≥0)

MISSING

Distinct3820
Distinct (%)14.6%
Missing22624
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean0.1071285337
Minimum0
Maximum1
Zeros73
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:38.617965image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0075
Q10.0432
median0.0707
Q30.1357
95-th percentile0.3203
Maximum1
Range1
Interquartile range (IQR)0.0925

Descriptive statistics

Standard deviation0.1114199118
Coefficient of variation (CV)1.040058218
Kurtosis11.86559053
Mean0.1071285337
Median Absolute Deviation (MAD)0.0381
Skewness2.785491941
Sum2798.1973
Variance0.01241439675
MonotonicityNot monotonic
2021-06-22T17:47:38.723345image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
073
 
0.1%
0.068849
 
0.1%
0.055143
 
0.1%
0.053841
 
0.1%
0.054140
 
0.1%
0.0539
 
0.1%
0.05738
 
0.1%
0.0638
 
0.1%
0.054838
 
0.1%
0.052338
 
0.1%
Other values (3810)25683
52.7%
(Missing)22624
46.4%
ValueCountFrequency (%)
073
0.1%
0.00013
 
< 0.1%
0.00036
 
< 0.1%
0.00053
 
< 0.1%
0.00068
 
< 0.1%
0.00073
 
< 0.1%
0.000810
 
< 0.1%
0.00098
 
< 0.1%
0.00112
 
< 0.1%
0.001110
 
< 0.1%
ValueCountFrequency (%)
131
0.1%
0.99731
 
< 0.1%
0.9791
 
< 0.1%
0.97461
 
< 0.1%
0.9711
 
< 0.1%
0.9561
 
< 0.1%
0.94841
 
< 0.1%
0.94681
 
< 0.1%
0.93862
 
< 0.1%
0.91271
 
< 0.1%

WALLSMATERIAL_MODE
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing23893
Missing (%)49.0%
Memory size2.3 MiB
Panel
11269 
Stone, brick
10434 
Block
1428 
Wooden
 
794
Mixed
 
353
Other values (2)
 
573

Characters and Unicode

Total characters199816
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStone, brick
2nd rowPanel
3rd rowBlock
4th rowStone, brick
5th rowStone, brick
ValueCountFrequency (%)
Panel11269
23.1%
Stone, brick10434
21.4%
Block1428
 
2.9%
Wooden794
 
1.6%
Mixed353
 
0.7%
Monolithic289
 
0.6%
Others284
 
0.6%
(Missing)23893
49.0%
ValueCountFrequency (%)
panel11269
31.9%
brick10434
29.6%
stone10434
29.6%
block1428
 
4.0%
wooden794
 
2.3%
mixed353
 
1.0%
monolithic289
 
0.8%
others284
 
0.8%

Most occurring characters

ValueCountFrequency (%)
e23134
 
11.6%
n22786
 
11.4%
o14028
 
7.0%
l12986
 
6.5%
c12151
 
6.1%
k11862
 
5.9%
i11365
 
5.7%
P11269
 
5.6%
a11269
 
5.6%
t11007
 
5.5%
Other values (13)57959
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter154097
77.1%
Uppercase Letter24851
 
12.4%
Other Punctuation10434
 
5.2%
Space Separator10434
 
5.2%

Most frequent character per category

ValueCountFrequency (%)
e23134
15.0%
n22786
14.8%
o14028
9.1%
l12986
8.4%
c12151
7.9%
k11862
7.7%
i11365
7.4%
a11269
7.3%
t11007
7.1%
r10718
7.0%
Other values (5)12791
8.3%
ValueCountFrequency (%)
P11269
45.3%
S10434
42.0%
B1428
 
5.7%
W794
 
3.2%
M642
 
2.6%
O284
 
1.1%
ValueCountFrequency (%)
,10434
100.0%
ValueCountFrequency (%)
10434
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin178948
89.6%
Common20868
 
10.4%

Most frequent character per script

ValueCountFrequency (%)
e23134
12.9%
n22786
12.7%
o14028
 
7.8%
l12986
 
7.3%
c12151
 
6.8%
k11862
 
6.6%
i11365
 
6.4%
P11269
 
6.3%
a11269
 
6.3%
t11007
 
6.2%
Other values (11)37091
20.7%
ValueCountFrequency (%)
,10434
50.0%
10434
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII199816
100.0%

Most frequent character per block

ValueCountFrequency (%)
e23134
 
11.6%
n22786
 
11.4%
o14028
 
7.0%
l12986
 
6.5%
c12151
 
6.1%
k11862
 
5.9%
i11365
 
5.7%
P11269
 
5.6%
a11269
 
5.6%
t11007
 
5.5%
Other values (13)57959
29.0%

EMERGENCYSTATE_MODE
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing22209
Missing (%)45.6%
Memory size2.2 MiB
No
26179 
Yes
 
356

Characters and Unicode

Total characters53426
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
No26179
53.7%
Yes356
 
0.7%
(Missing)22209
45.6%
ValueCountFrequency (%)
no26179
98.7%
yes356
 
1.3%

Most occurring characters

ValueCountFrequency (%)
N26179
49.0%
o26179
49.0%
Y356
 
0.7%
e356
 
0.7%
s356
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter26891
50.3%
Uppercase Letter26535
49.7%

Most frequent character per category

ValueCountFrequency (%)
o26179
97.4%
e356
 
1.3%
s356
 
1.3%
ValueCountFrequency (%)
N26179
98.7%
Y356
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Latin53426
100.0%

Most frequent character per script

ValueCountFrequency (%)
N26179
49.0%
o26179
49.0%
Y356
 
0.7%
e356
 
0.7%
s356
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII53426
100.0%

Most frequent character per block

ValueCountFrequency (%)
N26179
49.0%
o26179
49.0%
Y356
 
0.7%
e356
 
0.7%
s356
 
0.7%

OBS_30_CNT_SOCIAL_CIRCLE
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct28
Distinct (%)0.1%
Missing29
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.447644463
Minimum0
Maximum354
Zeros26025
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:39.015206image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum354
Range354
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.608053291
Coefficient of variation (CV)2.492361477
Kurtosis5550.42967
Mean1.447644463
Median Absolute Deviation (MAD)0
Skewness57.63848859
Sum70522
Variance13.01804855
MonotonicityNot monotonic
2021-06-22T17:47:39.115630image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
026025
53.4%
17765
 
15.9%
24751
 
9.7%
33269
 
6.7%
42202
 
4.5%
51467
 
3.0%
61034
 
2.1%
7695
 
1.4%
8486
 
1.0%
9344
 
0.7%
Other values (18)677
 
1.4%
ValueCountFrequency (%)
026025
53.4%
17765
 
15.9%
24751
 
9.7%
33269
 
6.7%
42202
 
4.5%
51467
 
3.0%
61034
 
2.1%
7695
 
1.4%
8486
 
1.0%
9344
 
0.7%
ValueCountFrequency (%)
3541
 
< 0.1%
3531
 
< 0.1%
3521
 
< 0.1%
291
 
< 0.1%
233
 
< 0.1%
221
 
< 0.1%
212
 
< 0.1%
209
< 0.1%
198
< 0.1%
1810
< 0.1%

DEF_30_CNT_SOCIAL_CIRCLE
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing29
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.1436518526
Minimum0
Maximum34
Zeros43195
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:39.208151image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5144127979
Coefficient of variation (CV)3.58096877
Kurtosis1164.902315
Mean0.1436518526
Median Absolute Deviation (MAD)0
Skewness20.00311186
Sum6998
Variance0.2646205267
MonotonicityNot monotonic
2021-06-22T17:47:39.285724image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
043195
88.6%
14443
 
9.1%
2834
 
1.7%
3189
 
0.4%
440
 
0.1%
58
 
< 0.1%
343
 
< 0.1%
63
 
< 0.1%
(Missing)29
 
0.1%
ValueCountFrequency (%)
043195
88.6%
14443
 
9.1%
2834
 
1.7%
3189
 
0.4%
440
 
0.1%
58
 
< 0.1%
63
 
< 0.1%
343
 
< 0.1%
ValueCountFrequency (%)
343
 
< 0.1%
63
 
< 0.1%
58
 
< 0.1%
440
 
0.1%
3189
 
0.4%
2834
 
1.7%
14443
 
9.1%
043195
88.6%

OBS_60_CNT_SOCIAL_CIRCLE
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct27
Distinct (%)0.1%
Missing29
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.435738479
Minimum0
Maximum351
Zeros26140
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:39.382238image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum351
Range351
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.580124627
Coefficient of variation (CV)2.493577124
Kurtosis5512.41153
Mean1.435738479
Median Absolute Deviation (MAD)0
Skewness57.35158046
Sum69942
Variance12.81729235
MonotonicityNot monotonic
2021-06-22T17:47:39.475403image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
026140
53.6%
17741
 
15.9%
24735
 
9.7%
33262
 
6.7%
42199
 
4.5%
51441
 
3.0%
61030
 
2.1%
7677
 
1.4%
8490
 
1.0%
9334
 
0.7%
Other values (17)666
 
1.4%
ValueCountFrequency (%)
026140
53.6%
17741
 
15.9%
24735
 
9.7%
33262
 
6.7%
42199
 
4.5%
51441
 
3.0%
61030
 
2.1%
7677
 
1.4%
8490
 
1.0%
9334
 
0.7%
ValueCountFrequency (%)
3511
 
< 0.1%
3492
 
< 0.1%
291
 
< 0.1%
233
 
< 0.1%
221
 
< 0.1%
212
 
< 0.1%
208
< 0.1%
196
 
< 0.1%
1812
< 0.1%
1716
< 0.1%

DEF_60_CNT_SOCIAL_CIRCLE
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing29
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.1011392795
Minimum0
Maximum24
Zeros44614
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:39.558537image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4037911741
Coefficient of variation (CV)3.992426841
Kurtosis769.6348896
Mean0.1011392795
Median Absolute Deviation (MAD)0
Skewness15.79974332
Sum4927
Variance0.1630473123
MonotonicityNot monotonic
2021-06-22T17:47:39.642452image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
044614
91.5%
13484
 
7.1%
2496
 
1.0%
397
 
0.2%
417
 
< 0.1%
54
 
< 0.1%
243
 
< 0.1%
(Missing)29
 
0.1%
ValueCountFrequency (%)
044614
91.5%
13484
 
7.1%
2496
 
1.0%
397
 
0.2%
417
 
< 0.1%
54
 
< 0.1%
243
 
< 0.1%
ValueCountFrequency (%)
243
 
< 0.1%
54
 
< 0.1%
417
 
< 0.1%
397
 
0.2%
2496
 
1.0%
13484
 
7.1%
044614
91.5%

DAYS_LAST_PHONE_CHANGE
Real number (ℝ)

ZEROS

Distinct3579
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1077.766228
Minimum-4361
Maximum0
Zeros5801
Zeros (%)11.9%
Negative42943
Negative (%)88.1%
Memory size380.9 KiB
2021-06-22T17:47:39.742427image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-4361
5-th percentile-2729.85
Q1-1766.25
median-863
Q3-363
95-th percentile0
Maximum0
Range4361
Interquartile range (IQR)1403.25

Descriptive statistics

Standard deviation878.9207401
Coefficient of variation (CV)-0.8155022096
Kurtosis-0.3954197307
Mean-1077.766228
Median Absolute Deviation (MAD)638
Skewness-0.6738242469
Sum-52534637
Variance772501.6673
MonotonicityNot monotonic
2021-06-22T17:47:39.859269image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05801
 
11.9%
-1174
 
0.4%
-271
 
0.1%
-345
 
0.1%
-179944
 
0.1%
-443
 
0.1%
-56542
 
0.1%
-178342
 
0.1%
-60841
 
0.1%
-177641
 
0.1%
Other values (3569)42400
87.0%
ValueCountFrequency (%)
-43611
< 0.1%
-42851
< 0.1%
-42571
< 0.1%
-42501
< 0.1%
-41871
< 0.1%
-41781
< 0.1%
-41641
< 0.1%
-41511
< 0.1%
-41031
< 0.1%
-40881
< 0.1%
ValueCountFrequency (%)
05801
11.9%
-1174
 
0.4%
-271
 
0.1%
-345
 
0.1%
-443
 
0.1%
-535
 
0.1%
-614
 
< 0.1%
-727
 
0.1%
-820
 
< 0.1%
-917
 
< 0.1%

FLAG_DOCUMENT_2
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:39.949068image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:40.015274image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_3
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7866198917
Minimum0
Maximum1
Zeros10401
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:40.092627image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4096980367
Coefficient of variation (CV)0.5208335576
Kurtosis-0.04214674946
Mean0.7866198917
Median Absolute Deviation (MAD)0
Skewness-1.399233712
Sum38343
Variance0.1678524812
MonotonicityNot monotonic
2021-06-22T17:47:40.179295image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
138343
78.7%
010401
 
21.3%
ValueCountFrequency (%)
010401
 
21.3%
138343
78.7%
ValueCountFrequency (%)
138343
78.7%
010401
 
21.3%

FLAG_DOCUMENT_4
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001025767274
Minimum0
Maximum1
Zeros48739
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:40.261315image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01012760138
Coefficient of variation (CV)98.73196029
Kurtosis9744.799787
Mean0.0001025767274
Median Absolute Deviation (MAD)0
Skewness98.72385705
Sum5
Variance0.0001025683096
MonotonicityNot monotonic
2021-06-22T17:47:40.345584image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
048739
> 99.9%
15
 
< 0.1%
ValueCountFrequency (%)
048739
> 99.9%
15
 
< 0.1%
ValueCountFrequency (%)
15
 
< 0.1%
048739
> 99.9%

FLAG_DOCUMENT_5
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0147505334
Minimum0
Maximum1
Zeros48025
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:40.425783image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1205539436
Coefficient of variation (CV)8.172853167
Kurtosis62.81569626
Mean0.0147505334
Median Absolute Deviation (MAD)0
Skewness8.050659531
Sum719
Variance0.01453325332
MonotonicityNot monotonic
2021-06-22T17:47:40.494817image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
048025
98.5%
1719
 
1.5%
ValueCountFrequency (%)
048025
98.5%
1719
 
1.5%
ValueCountFrequency (%)
1719
 
1.5%
048025
98.5%

FLAG_DOCUMENT_6
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08747743312
Minimum0
Maximum1
Zeros44480
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:40.574994image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2825363153
Coefficient of variation (CV)3.229819455
Kurtosis6.528175718
Mean0.08747743312
Median Absolute Deviation (MAD)0
Skewness2.920258185
Sum4264
Variance0.07982676949
MonotonicityNot monotonic
2021-06-22T17:47:40.649832image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
044480
91.3%
14264
 
8.7%
ValueCountFrequency (%)
044480
91.3%
14264
 
8.7%
ValueCountFrequency (%)
14264
 
8.7%
044480
91.3%

FLAG_DOCUMENT_7
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.103069096 × 10-5
Minimum0
Maximum1
Zeros48742
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:40.728175image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.006405454643
Coefficient of variation (CV)156.1137406
Kurtosis24369.49984
Mean4.103069096 × 10-5
Median Absolute Deviation (MAD)0
Skewness156.1105376
Sum2
Variance4.102984918 × 10-5
MonotonicityNot monotonic
2021-06-22T17:47:40.805401image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
048742
> 99.9%
12
 
< 0.1%
ValueCountFrequency (%)
048742
> 99.9%
12
 
< 0.1%
ValueCountFrequency (%)
12
 
< 0.1%
048742
> 99.9%

FLAG_DOCUMENT_8
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0884621697
Minimum0
Maximum1
Zeros44432
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:40.882222image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.283968781
Coefficient of variation (CV)3.210058965
Kurtosis6.402094111
Mean0.0884621697
Median Absolute Deviation (MAD)0
Skewness2.898591284
Sum4312
Variance0.08063826856
MonotonicityNot monotonic
2021-06-22T17:47:40.959880image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
044432
91.2%
14312
 
8.8%
ValueCountFrequency (%)
044432
91.2%
14312
 
8.8%
ValueCountFrequency (%)
14312
 
8.8%
044432
91.2%

FLAG_DOCUMENT_9
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00449286066
Minimum0
Maximum1
Zeros48525
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:41.037002image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06687874568
Coefficient of variation (CV)14.88555972
Kurtosis217.602299
Mean0.00449286066
Median Absolute Deviation (MAD)0
Skewness14.81868316
Sum219
Variance0.004472766623
MonotonicityNot monotonic
2021-06-22T17:47:41.117070image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
048525
99.6%
1219
 
0.4%
ValueCountFrequency (%)
048525
99.6%
1219
 
0.4%
ValueCountFrequency (%)
1219
 
0.4%
048525
99.6%

FLAG_DOCUMENT_10
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:41.195569image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:41.260452image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_11
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001169374692
Minimum0
Maximum1
Zeros48687
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:41.325483image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0341764717
Coefficient of variation (CV)29.22627959
Kurtosis850.2464016
Mean0.001169374692
Median Absolute Deviation (MAD)0
Skewness29.19266201
Sum57
Variance0.001168031218
MonotonicityNot monotonic
2021-06-22T17:47:41.399345image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
048687
99.9%
157
 
0.1%
ValueCountFrequency (%)
048687
99.9%
157
 
0.1%
ValueCountFrequency (%)
157
 
0.1%
048687
99.9%

FLAG_DOCUMENT_12
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:41.473371image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:41.534626image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_13
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:41.606316image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:41.668674image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_14
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:41.736126image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:41.797078image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_15
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:41.861502image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:42.383784image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_16
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:42.446303image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:42.507740image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_17
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:42.584512image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:42.660137image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_18
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001559166256
Minimum0
Maximum1
Zeros48668
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:42.733947image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03945588923
Coefficient of variation (CV)25.30576137
Kurtosis636.4353873
Mean0.001559166256
Median Absolute Deviation (MAD)0
Skewness25.26676224
Sum76
Variance0.001556767195
MonotonicityNot monotonic
2021-06-22T17:47:42.802486image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
048668
99.8%
176
 
0.2%
ValueCountFrequency (%)
048668
99.8%
176
 
0.2%
ValueCountFrequency (%)
176
 
0.2%
048668
99.8%

FLAG_DOCUMENT_19
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:42.867727image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:42.926772image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_20
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:42.989361image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:43.060928image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

FLAG_DOCUMENT_21
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros48744
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:43.142047image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-06-22T17:47:43.215577image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%
ValueCountFrequency (%)
048744
100.0%

AMT_REQ_CREDIT_BUREAU_HOUR
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean0.002107975173
Minimum0
Maximum2
Zeros42606
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:43.286725image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04637268456
Coefficient of variation (CV)21.9986863
Kurtosis519.7514504
Mean0.002107975173
Median Absolute Deviation (MAD)0
Skewness22.41308502
Sum90
Variance0.002150425873
MonotonicityNot monotonic
2021-06-22T17:47:43.371430image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
042606
87.4%
188
 
0.2%
21
 
< 0.1%
(Missing)6049
 
12.4%
ValueCountFrequency (%)
042606
87.4%
188
 
0.2%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
188
 
0.2%
042606
87.4%

AMT_REQ_CREDIT_BUREAU_DAY
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean0.00180348987
Minimum0
Maximum2
Zeros42625
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:43.451386image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0461323573
Coefficient of variation (CV)25.57949344
Kurtosis897.69614
Mean0.00180348987
Median Absolute Deviation (MAD)0
Skewness28.27383828
Sum77
Variance0.00212819439
MonotonicityNot monotonic
2021-06-22T17:47:43.520167image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
042625
87.4%
163
 
0.1%
27
 
< 0.1%
(Missing)6049
 
12.4%
ValueCountFrequency (%)
042625
87.4%
163
 
0.1%
27
 
< 0.1%
ValueCountFrequency (%)
27
 
< 0.1%
163
 
0.1%
042625
87.4%

AMT_REQ_CREDIT_BUREAU_WEEK
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct3
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean0.002787211617
Minimum0
Maximum2
Zeros42579
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:43.604155image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05403742351
Coefficient of variation (CV)19.38762855
Kurtosis435.144522
Mean0.002787211617
Median Absolute Deviation (MAD)0
Skewness20.18227107
Sum119
Variance0.00292004314
MonotonicityNot monotonic
2021-06-22T17:47:43.685838image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
042579
87.4%
1113
 
0.2%
23
 
< 0.1%
(Missing)6049
 
12.4%
ValueCountFrequency (%)
042579
87.4%
1113
 
0.2%
23
 
< 0.1%
ValueCountFrequency (%)
23
 
< 0.1%
1113
 
0.2%
042579
87.4%

AMT_REQ_CREDIT_BUREAU_MON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean0.009298512706
Minimum0
Maximum6
Zeros42341
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:43.774909image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1109235569
Coefficient of variation (CV)11.92917194
Kurtosis485.2466603
Mean0.009298512706
Median Absolute Deviation (MAD)0
Skewness17.27089128
Sum397
Variance0.01230403547
MonotonicityNot monotonic
2021-06-22T17:47:43.848754image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
042341
86.9%
1324
 
0.7%
223
 
< 0.1%
34
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
61
 
< 0.1%
(Missing)6049
 
12.4%
ValueCountFrequency (%)
042341
86.9%
1324
 
0.7%
223
 
< 0.1%
34
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
51
 
< 0.1%
41
 
< 0.1%
34
 
< 0.1%
223
 
< 0.1%
1324
 
0.7%
042341
86.9%

AMT_REQ_CREDIT_BUREAU_QRT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean0.5469024476
Minimum0
Maximum7
Zeros23559
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:43.931862image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6933054229
Coefficient of variation (CV)1.267694862
Kurtosis1.978410311
Mean0.5469024476
Median Absolute Deviation (MAD)0
Skewness1.254611784
Sum23350
Variance0.4806724094
MonotonicityNot monotonic
2021-06-22T17:47:44.004476image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
023559
48.3%
115573
31.9%
22998
 
6.2%
3495
 
1.0%
457
 
0.1%
511
 
< 0.1%
71
 
< 0.1%
61
 
< 0.1%
(Missing)6049
 
12.4%
ValueCountFrequency (%)
023559
48.3%
115573
31.9%
22998
 
6.2%
3495
 
1.0%
457
 
0.1%
511
 
< 0.1%
61
 
< 0.1%
71
 
< 0.1%
ValueCountFrequency (%)
71
 
< 0.1%
61
 
< 0.1%
511
 
< 0.1%
457
 
0.1%
3495
 
1.0%
22998
 
6.2%
115573
31.9%
023559
48.3%

AMT_REQ_CREDIT_BUREAU_YEAR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct16
Distinct (%)< 0.1%
Missing6049
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean1.983768591
Minimum0
Maximum17
Zeros10839
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size380.9 KiB
2021-06-22T17:47:44.097417image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile6
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.838872735
Coefficient of variation (CV)0.9269592952
Kurtosis1.225120222
Mean1.983768591
Median Absolute Deviation (MAD)1
Skewness1.065424075
Sum84697
Variance3.381452936
MonotonicityNot monotonic
2021-06-22T17:47:44.185705image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
010839
22.2%
19211
18.9%
28489
17.4%
36194
12.7%
43745
 
7.7%
52076
 
4.3%
61127
 
2.3%
7553
 
1.1%
8297
 
0.6%
9122
 
0.3%
Other values (6)42
 
0.1%
(Missing)6049
12.4%
ValueCountFrequency (%)
010839
22.2%
19211
18.9%
28489
17.4%
36194
12.7%
43745
 
7.7%
52076
 
4.3%
61127
 
2.3%
7553
 
1.1%
8297
 
0.6%
9122
 
0.3%
ValueCountFrequency (%)
171
 
< 0.1%
141
 
< 0.1%
132
 
< 0.1%
125
 
< 0.1%
1112
 
< 0.1%
1021
 
< 0.1%
9122
 
0.3%
8297
 
0.6%
7553
1.1%
61127
2.3%